MLOps Platform Engineer
Phoenix / $65 - $77 hour
INFO
RATE:
$65 - $77
LOCATION
Phoenix
Contract
MLOps Platform Engineer
Phoenix, Arizona
This is a unique opportunity to build an enterprise-scale MLOps platform from the ground up. Joining a greenfield initiative, you will play a pivotal role in designing and operationalizing the infrastructure, automation, and governance required to deploy, monitor, and scale machine learning models in production. This project offers the chance to shape long-term MLOps strategy while working closely with Data Science and Data Engineering teams to establish best practices across the organization.
The Company
They are a large, established organization undergoing significant investment in data, analytics, and machine learning capabilities. With a strong focus on innovation and operational excellence, they are building modern data and AI platforms to support critical business initiatives. Their teams are committed to creating scalable, governed, and sustainable solutions that enable advanced analytics and machine learning at enterprise scale.
The Role and Deliverables
- Design and build a production-grade MLOps platform using Snowflake and related machine learning capabilities.
- Develop reusable ML pipelines covering training, validation, deployment, inference, monitoring, and lifecycle management.
- Establish model governance standards including versioning, approval workflows, lineage tracking, rollback procedures, and auditability.
- Implement model observability frameworks for performance monitoring, drift detection, data quality validation, and service reliability.
- Build and automate CI/CD processes for machine learning workflows, including testing, release management, and deployment controls.
- Partner closely with Data Scientists and Data Engineers to productionize models and ensure reliable integration with enterprise data platforms.
Your Skills & Experience
- Strong experience building MLOps platforms or machine learning infrastructure in production environments.
- Proven capability designing and implementing model deployment, monitoring, tracking, versioning, and registry processes.
- Advanced Python and SQL skills with experience developing and maintaining machine learning pipelines.
- Experience building CI/CD pipelines and automation frameworks for machine learning systems.
- Hands-on experience with enterprise machine learning platforms such as Snowflake ML, Databricks, AWS SageMaker, or similar technologies.
- Strong understanding of the relationship between data engineering pipelines and downstream machine learning workflows.
- Experience working with cloud platforms, ideally AWS.
- Ability to collaborate effectively with Data Scientists and Data Engineers to define requirements and deliver scalable solutions.
- Familiarity with Snowpark, Feature Stores, Model Registry capabilities, or other modern MLOps tooling is advantageous.
- Experience with medallion architectures, ML observability, AI agents, containers, dbt, Splunk, or near real-time machine learning environments would be beneficial.
How to Apply
If you are an experienced MLOps Platform Engineer who enjoys building scalable machine learning platforms from scratch and driving best practices across enterprise AI environments, please apply today.
CONTACT
Emily Pommier
Recruitment Consultant
SIMILAR
JOB RESULTS
MLOps Platform Engineer
Phoenix
$65 - $77
+ Data Science & AI
ContractPhoenix, Arizona
To Apply for this Job Click Here
MLOps Platform Engineer
Phoenix, Arizona
This is a unique opportunity to build an enterprise-scale MLOps platform from the ground up. Joining a greenfield initiative, you will play a pivotal role in designing and operationalizing the infrastructure, automation, and governance required to deploy, monitor, and scale machine learning models in production. This project offers the chance to shape long-term MLOps strategy while working closely with Data Science and Data Engineering teams to establish best practices across the organization.
The Company
They are a large, established organization undergoing significant investment in data, analytics, and machine learning capabilities. With a strong focus on innovation and operational excellence, they are building modern data and AI platforms to support critical business initiatives. Their teams are committed to creating scalable, governed, and sustainable solutions that enable advanced analytics and machine learning at enterprise scale.
The Role and Deliverables
- Design and build a production-grade MLOps platform using Snowflake and related machine learning capabilities.
- Develop reusable ML pipelines covering training, validation, deployment, inference, monitoring, and lifecycle management.
- Establish model governance standards including versioning, approval workflows, lineage tracking, rollback procedures, and auditability.
- Implement model observability frameworks for performance monitoring, drift detection, data quality validation, and service reliability.
- Build and automate CI/CD processes for machine learning workflows, including testing, release management, and deployment controls.
- Partner closely with Data Scientists and Data Engineers to productionize models and ensure reliable integration with enterprise data platforms.
Your Skills & Experience
- Strong experience building MLOps platforms or machine learning infrastructure in production environments.
- Proven capability designing and implementing model deployment, monitoring, tracking, versioning, and registry processes.
- Advanced Python and SQL skills with experience developing and maintaining machine learning pipelines.
- Experience building CI/CD pipelines and automation frameworks for machine learning systems.
- Hands-on experience with enterprise machine learning platforms such as Snowflake ML, Databricks, AWS SageMaker, or similar technologies.
- Strong understanding of the relationship between data engineering pipelines and downstream machine learning workflows.
- Experience working with cloud platforms, ideally AWS.
- Ability to collaborate effectively with Data Scientists and Data Engineers to define requirements and deliver scalable solutions.
- Familiarity with Snowpark, Feature Stores, Model Registry capabilities, or other modern MLOps tooling is advantageous.
- Experience with medallion architectures, ML observability, AI agents, containers, dbt, Splunk, or near real-time machine learning environments would be beneficial.
How to Apply
If you are an experienced MLOps Platform Engineer who enjoys building scalable machine learning platforms from scratch and driving best practices across enterprise AI environments, please apply today.
To Apply for this Job Click Here
App Developer
Washington
$140000 - $160000
+ Data Engineering
PermanentWashington, District of Columbia
To Apply for this Job Click Here
What You’ll Do
- Design, develop, and maintain applications within the Entellitrak / Tyler Technologies platform
- Own full project lifecycle from requirements through deployment
- Serve as the internal Entellitrak expert, working across business units
- Partner with stakeholders to translate business needs into platform solutions
What We’re Looking For
Required:
- Hands-on Entellitrak / Tyler Technologies development experience – this is non-negotiable
- Java or JavaScript proficiency
- Experience owning end-to-end application builds
- Low-code/no-code platform development background
- Government or public sector experience a strong plus
To Apply for this Job Click Here
Senior Data Analytics Manager
Leicester
£600 - £700
+ Advanced Analytics & Marketing Insights
ContractLeicester, Leicestershire
To Apply for this Job Click Here
Senior Data Analytics Manager
3-Month initial Contract | Inside IR35 | Leicester (5 Days On-Site)
The Opportunity
This is a hands-on leadership role, managing two direct reports whilst providing oversight across wider UK, offshore and outsourced services. You’ll be responsible for driving best practice across data engineering, analytics, reporting governance, automation and emerging AI capabilities.
The business operates a modern Databricks environment managing datasets at billion-record scale and is investing heavily in self-service analytics, semantic modelling, automation and AI-driven solutions.
The Role
You’ll take ownership of the Data & Analytics function, ensuring the organisation continues to build scalable, trusted and governed data products whilst supporting a growing automation estate of over 120 live automations.
Working closely with senior stakeholders across Finance Operations and Technology, you’ll help shape the future direction of data, analytics, automation and AI across the organisation.
Key Responsibilities
- Lead the Data & Reporting and Automation functions.
- Manage two direct reports alongside wider UK, offshore and outsourced teams.
- Drive best practice across data engineering, reporting, testing, governance and quality assurance.
- Lead the development and governance of semantic models to support self-service analytics.
- Provide technical leadership across Databricks, SQL, Python and Power BI environments.
- Ensure robust Power BI governance, security and reporting standards.
- Support and oversee an established automation capability with 120+ live automations.
- Partner with business stakeholders to identify opportunities for intelligent automation and AI adoption.
- Contribute towards initiatives involving OCR, AI-driven automation and emerging agentic AI capabilities.
- Act as the technical escalation point, challenging solutions and ensuring high standards across delivery.
Skills & Experience
We’re looking for candidates who can demonstrate:
- Previous experience leading Data, Analytics, BI or Reporting functions.
- Strong experience with Databricks or another major enterprise-scale data platform such as Snowflake, BigQuery, Fabric or Synapse.
- Advanced SQL and Python capabilities.
- Experience building or governing semantic models and self-service analytics environments.
- Strong Power BI governance, security and reporting expertise.
- Experience working with large-scale data environments and complex data models.
- Exposure to automation, RPA or process automation initiatives.
- Understanding of AI, GenAI, OCR, intelligent automation or data-led AI initiatives.
- Experience managing technical teams and influencing senior business stakeholders.
- Ability to remain technically credible whilst providing leadership and direction.
To Apply for this Job Click Here
People Reporting Analyst
£45000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentOxfordshire
To Apply for this Job Click Here
People Reporting Analyst
Up to £55,000
Oxfordshire (2 days per week onsite)
The Overview
This is an excellent opportunity for a People Reporting Analyst to join a well-established international organisation on a 12-month fixed-term contract. Working within a high-visibility People Reporting & Insights team, you’ll play a key role in delivering data-driven insights that support strategic HR decision-making across the business. The position offers exposure to senior stakeholders, ownership of reporting outputs, and involvement in a range of impactful people analytics projects.
The Company
They are a globally recognised organisation with a large and diverse workforce supporting operations across multiple regions. Their People function covers Talent Acquisition, HR Operations, Learning & Development, Reward, Payroll, and People Analytics. They are continuing to invest in their people data capabilities, technology landscape, and reporting infrastructure to enable more informed workforce decisions. This role sits within a collaborative People Reporting & Insights team that works closely with stakeholders across the wider HR function.
The Role
You will be responsible for delivering high-quality people reporting and analytics while supporting ongoing enhancements across reporting processes and HR systems.
Key responsibilities include:
- Building, maintaining, and enhancing Power BI dashboards and reporting solutions
- Producing regular and ad hoc people reports for a range of stakeholders
- Extracting, validating, and analysing workforce data from SAP SuccessFactors
- Investigating reporting discrepancies and resolving data quality issues
- Supporting reporting across recruitment, performance, learning, reward, and employee lifecycle activities
- Partnering with People Systems teams on UAT, system improvements, and reporting enhancements
- Delivering insights that support workforce planning and people strategy decisions
- Contributing to projects relating to performance reporting, talent intelligence, internal mobility, and reward analytics
- Driving initiatives focused on improving data accuracy and reporting efficiency
Your Skills & Experience
- Strong commercial experience with Power BI, including dashboard development and reporting
- Hands-on experience working with SAP SuccessFactors data
- Background in HR, People Analytics, HR Reporting, or Workforce Analytics
- Ability to extract, manipulate, interrogate, and troubleshoot people data
- Strong stakeholder management and communication skills
- Experience identifying and improving data quality issues
- Comfortable working with both routine reporting and project-based analytics work
- Ability to commute to Bicester two days per week
- Availability to start within a short notice period is advantageous
What They Offer
- Salary of £45,000 – £55,000
- Hybrid working model with two days per week onsite in Bicester
- Exposure to senior HR leadership and strategic stakeholders
- Opportunity to shape and improve people reporting capabilities
- Hands-on experience with Power BI, SAP SuccessFactors, and emerging people technologies
- Involvement in high-impact HR analytics and transformation projects
- Potential for longer-term opportunities beyond the initial fixed-term contract
How to Apply
If you’re a People Reporting Analyst, HR Data Analyst, People Data Analyst, HR MI Analyst, or People Analytics professional with strong Power BI and SAP SuccessFactors experience, please apply to learn more about this opportunity.
To Apply for this Job Click Here
Analytics Manager
£90000 - £95000
+ Advanced Analytics & Marketing Insights
PermanentLeicestershire
To Apply for this Job Click Here
Analytics Manager
Onsite – Leicestershire (5x days per week)
£90,000 – £95,000 + bonus
An opportunity to lead data, analytics and automation within a complex Finance Operations environment. You will shape the strategy across MI, RPA and emerging AI capabilities, leading technical teams while delivering measurable improvements across data, reporting and automation.
The Company
They are a large, established organisation investing in the continued evolution of their data and automation capabilities. Data plays a critical role in operational and financial decision-making, with a mature technology ecosystem already in place. They are now looking for a Senior Data Analytics Manager to lead the next stage of this journey.
The Role
As Senior Data Analytics Manager, you will:
- Lead multidisciplinary teams across data, MI, reporting and RPA, providing strategic direction to senior team members.
- Own the data and analytics strategy for Finance Operations, including a large-scale data ecosystem and complex semantic models.
- Drive the evolution of automation, identifying opportunities for intelligent workflows and Agentic AI.
- Develop analytics capabilities across Databricks, Power BI and AI-powered BI to deliver predictive and actionable insights.
- Oversee the governance, performance and controls surrounding a substantial portfolio of live automated processes.
- Partner with senior stakeholders across Finance, IT and Operations to translate technical roadmaps into measurable business value.
- Lead strategic projects from inception through to delivery, with clear governance and accountability.
Your Skills & Experience
You will bring:
- Strong commercial experience leading technical teams across Data, Analytics and/or Automation.
- Strong knowledge of modern data architecture, Databricks, data modelling and data governance.
- Expertise using SQL for complex querying and scalable analytics solutions.
- Experience with DAX and Power BI, alongside an understanding of semantic data models.
- Experience using Python for data engineering, analytics or process automation.
- Strong knowledge of RPA, process automation and process re-engineering.
- An understanding of emerging AI capabilities, including Agentic AI and AI-powered analytics.
- Strong stakeholder management skills, with the ability to communicate technical strategy clearly to senior audiences.
- Experience managing governance, change control and operational risk within complex production environments.
What They Offer
- £90,000 to £95,000 base salary.
- Bonus.
- The opportunity to own and influence a significant data, analytics and automation strategy.
- Exposure to modern technologies across Databricks, Power BI, RPA and AI.
- A senior leadership position with scope to drive meaningful technological and operational change.
- This is an onsite position based in Leicestershire, requiring office attendance 5 day
How to Apply
Apply now to be considered for this Senior Data Analytics Manager opportunity in Leicestershire.
To Apply for this Job Click Here
People Reporting Analyst – 12 Month FTC
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
People Reporting Analyst (12-Month FTC)
Oxfordshire (Hybrid, 2 days onsite) | £45,000 – £55,000
No Sponsorship offered
This is an excellent opportunity for a People Reporting Analyst to join a globally operating organisation undergoing continued investment in people data, analytics and HR technology. You’ll play a key role in delivering workforce insights, improving reporting capabilities and supporting strategic people initiatives across an international employee population.
The Company
Our client is a well-established global organisation with a large and diverse workforce. They are committed to leveraging data and technology to drive smarter people decisions and improve employee experiences across the business.
The People function supports multiple areas including Talent Acquisition, HR Operations, Payroll, Learning & Development, Reward and People Systems.
The Role
As a People Reporting Analyst, you will be responsible for delivering accurate reporting, meaningful workforce insights and data-driven recommendations to support decision making across the People function.
Key responsibilities include:
- Building, maintaining and improving Power BI dashboards and reporting solutions.
- Producing regular and ad hoc People reports and analytics.
- Extracting, analysing and interpreting workforce data from SAP SuccessFactors.
- Investigating reporting issues and driving improvements in data quality.
- Supporting reporting across recruitment, performance, learning, employee lifecycle and reward activities.
- Partnering with People Systems teams on system enhancements, testing and implementation projects.
- Identifying workforce trends and providing actionable insights to stakeholders.
- Supporting reporting process improvements and data governance initiatives.
You’ll also contribute to a variety of strategic projects, including:
- Performance and talent reporting.
- Internal mobility analytics.
- Reward and benefits reporting.
- HR technology implementation projects.
- Data quality and reporting transformation initiatives.
Your Skills & Experience
- Strong commercial experience using Power BI.
- Strong SAP SuccessFactors experience.
- Experience within a People Analytics, HR Data, HR MI or People Reporting environment.
- The ability to extract, interrogate and troubleshoot HR data.
- Advanced Excel skills.
- Strong analytical and problem-solving capability.
- A good understanding of HR processes and the employee lifecycle.
- Excellent stakeholder management and communication skills.
- The ability to commute to Oxfordshire twice per week.
What They Offer
- £45,000 – £55,000 salary.
- Hybrid working with 2 days onsite in Oxfordshire.
- Exposure to senior HR and business stakeholders.
- The opportunity to take ownership of key People Reporting activities.
- Hands-on experience with Power BI, SAP SuccessFactors and modern HR technologies.
- Involvement in high-profile workforce analytics and reporting projects.
- Potential for extension or a longer-term opportunity beyond the initial contract.
How to Apply
Apply below!
To Apply for this Job Click Here
People Reporting Analyst
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
People Reporting Analyst
Oxfordshire | £45,000 – £55,000 | 12-Month FTC (high possibility of going permanent)
An exciting opportunity for a People Reporting Analyst to join a large organisation investing in its people data and reporting capabilities. You’ll work closely with senior stakeholders, delivering insights that support business decision-making and improve workforce reporting.
The Company
They are a well-established organisation with a sizeable workforce and a growing focus on people analytics. The People function is investing in reporting, technology, and data-driven decision-making, creating an opportunity to make a genuine impact.
The Role:
- Build and maintain Power BI dashboards and reports
- Extract, analyse, and validate HR data from people systems
- Investigate and resolve data quality and reporting issues
- Support reporting across recruitment, performance, learning and development, reward, and employee operations
- Work with People Systems teams on data improvements and new technology initiatives
- Support reporting for key business and HR projects
Your Skills & Experience:
- Strong experience in People Analytics, HR Reporting, or Workforce Analytics
- Advanced Power BI skills
- Experience working with HRIS platforms, ideally SuccessFactors or WorkDay
- Ability to analyse, manipulate, and interpret people data
- Strong stakeholder management and communication skills
- Experience improving data quality and reporting processes
What They Offer:
- £45,000 – £55,000 salary
- 12-month fixed-term contract with potential to extend
- Exposure to senior leadership
- Ownership of key reporting and analytics initiatives
- Opportunity to work with new people technologies and data projects
If you are interested in the role please apply. To follow up please message me on LinkedIn.
To Apply for this Job Click Here
CRM Manager (Klaviyo Migration)
City of London
£400 - £425
+ Advanced Analytics & Marketing Insights
ContractCity of London, London
To Apply for this Job Click Here
CRM Manager (Klaviyo Migration)
London | Outside IR35 | £400-425 Day Rate | 6 month contract | Hybrid
This is an opportunity to play a leading role in a major CRM and marketing technology transformation. You’ll be responsible for helping deliver the migration from Emarsys to Klaviyo while working across marketing, technology, data, and vendor teams to ensure the programme remains on track and key business objectives are achieved.
The Company
They are a customer-focused organisation investing heavily in modernising their marketing technology stack. Alongside a CRM platform migration, they are also evolving their broader customer data capabilities, creating a highly visible transformation programme with executive sponsorship. The environment is collaborative, fast-paced, and focused on delivering measurable business outcomes.
The Role and Deliverables
- Lead the CRM workstream for the migration from Emarsys to Klaviyo.
- Act as the key point of coordination between business stakeholders, technology teams, and external vendors.
- Identify and manage dependencies, risks, and delivery challenges across the programme.
- Support decision-making by presenting clear recommendations, trade-offs, and delivery options to leadership teams.
- Ensure customer journeys, campaigns, and CRM capabilities are successfully migrated and aligned to future-state objectives.
- Drive programme momentum, ensuring actions are owned, prioritised, and delivered to agreed timelines.
Your Skills & Experience
- Strong experience as a CRM Manager, CRM Product Manager, or Marketing Technology Manager within a customer engagement environment.
- Proven experience delivering a migration to Klaviyo, with a strong understanding of the challenges, dependencies, and best practices involved.
- Knowledge of marketing automation, customer lifecycle communications, and multi-channel CRM programmes.
- Experience working with customer data platforms (CDPs) and broader marketing technology ecosystems.
- Ability to work effectively with senior stakeholders, technical teams, and third-party vendors.
- Strong delivery focus, with the ability to manage competing priorities across transformation and BAU activity.
- Experience translating business requirements into practical solutions and clear delivery plans.
How to Apply
If you have hands-on experience delivering a Klaviyo migration and enjoy driving complex CRM transformation programmes, please apply to discuss the opportunity further.
To Apply for this Job Click Here
Analytics Engineer – Freelance role
€90 - €95
+ Data Engineering
PermanentNederland
To Apply for this Job Click Here
Analytics Engineer
Freelance role
Amsterdam (Hybrid)
This is an excellent opportunity for an Analytics Engineer to play a key role in shaping a growing data function. You’ll sit at the intersection of Data Engineering and Analytics, helping to build scalable data models, improve data accessibility, and enable better decision-making across the business.
The Company
They are a fast-paced, technology-driven organisation with a strong focus on data as a strategic asset. Operating in a complex, data-rich environment, they are continuing to invest heavily in their data platform and analytics capabilities.
The team is collaborative, ambitious, and focused on delivering high-quality data solutions that create measurable business impact. Experience from FinTech environments is particularly valued, although professionals from other high-growth technology businesses will also be considered.
The Role
You will:
- Develop and maintain robust data models using dbt and SQL.
- Build scalable and reliable analytics datasets that support reporting and decision-making.
- Act as a bridge between Data Engineering and Analytics teams, ensuring data is transformed into meaningful business insights.
- Work closely with stakeholders to understand data requirements and translate them into effective solutions.
- Improve data quality, testing, documentation, and governance practices.
- Contribute to the evolution of the data platform and analytics engineering best practices.
Your Skills & Experience
- Strong commercial experience with dbt.
- Advanced SQL and data modelling expertise.
- Proven ability to work across both engineering and analytics functions.
- Experience building and maintaining modern data transformation pipelines.
- Strong stakeholder management and communication skills.
- Experience within FinTech is highly desirable.
- Candidates from high-growth technology businesses or blended banking and technology environments are also encouraged to apply.
- Passion for creating scalable, well-documented, and high-quality data assets.
What They Offer
- Contract rate
- Competitive benefits package.
- Hybrid working model with flexibility.
- Opportunity to influence a growing data function and have a visible impact on business outcomes.
- Exposure to modern data tooling and best practices.
- Clear scope for professional development and career progression within a high-performing team.
How to Apply
If you’re an Analytics Engineer with strong dbt and SQL data modelling experience and are looking to make a tangible impact within a growing data team, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Senior Analytics Manager
Leicester
£83000 - £93000
+ Advanced Analytics & Marketing Insights
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Senior Data Analytics Manager
Up to £93,000 + Benefits
Leicester – Onsite
Leadership Role | Finance Operations
I’m hiring a Senior Data Analytics Manager for a large company, joining a high-profile Finance Operations leadership team responsible for driving automation, analytics, and AI-led transformation across the function.
This is a strategic leadership role overseeing both Data Analytics and Automation capability, with responsibility for modernising how Finance uses data, reporting, robotics, and emerging AI technologies.
The role
You’ll lead two specialist functions:
- MI & Reporting
- Robotic Process Automation (RPA)
The goal isn’t simply maintaining existing reporting and automation. The business wants someone who can help move Finance Operations towards the next generation of analytics, automation, and AI-powered decision-making.
This role combines:
- Data & Analytics leadership
- Automation strategy
- Stakeholder management
- AI & BI transformation
- Operational improvement
What you’ll be doing
Leadership & Strategy
- Lead and develop the MI & Reporting Manager and RPA Product Owner.
- Act as the key link between Finance Operations, IT, and senior leadership.
- Drive a culture of continuous improvement and innovation.
- Challenge existing ways of working and identify opportunities for transformation.
Data & Analytics
- Own the strategic roadmap for analytics and reporting across Finance Operations.
- Oversee a complex data ecosystem including:
- 800+ tables
- semantic models
- Gold data architecture
- Databricks-powered analytics environments
- Drive adoption of AI-powered analytics capability and self-service reporting.
- Ensure data quality, governance, and trust across critical reporting processes.
Automation & Process Improvement
- Lead process improvement and automation strategy.
- Manage an estate of 120+ live automated processes.
- Oversee outsourced RPA delivery partners.
- Explore opportunities around Agentic AI and intelligent workflows.
Project Delivery
- Lead major Finance Operations transformation projects.
- Work closely with technology, operational and finance stakeholders.
- Implement governance, controls, and performance tracking across key initiatives.
What they’re looking for
Must-haves
- Experience leading Data, Analytics, BI, Automation, or Operational Excellence teams.
- Strong stakeholder management and leadership skills.
- Experience driving reporting, analytics, or automation transformation programmes.
- Strong understanding of:
- SQL
- Power BI
- DAX
- Data modelling
- Databricks
- Modern analytics architectures
- Ability to translate technical opportunities into tangible business value.
Highly desirable
- Experience with AI-powered analytics tools.
- Experience using Python for analytics, automation, or engineering use cases.
- Exposure to RPA platforms and intelligent automation.
- Large-scale operational or finance environments.
Why this role?
- Significant leadership responsibility
- Opportunity to shape the future of analytics and automation
- High visibility across Finance and Technology
- Strong investment in AI, Databricks and next-generation analytics
- Lead teams responsible for major business-critical capabilities
- Work for one of the UK’s most recognised brands
Ideal backgrounds
- Head of Analytics
- Senior Analytics Manager
- Data & Analytics Manager
- BI & Data Manager
- Analytics Transformation Lead
- Operational Analytics Manager
- Data & Automation Manager
Package
- Salary up to £93,000
- Generous benefits package
- Strong career progression opportunities
- Exposure to modern data, automation, and AI programmes
If you’re looking for a role where you can combine leadership, analytics, automation, and business transformation, this is an excellent opportunity to make a significant impact.
To Apply for this Job Click Here
Head of Data Engineering
Amsterdam
€100000 - €130000
+ Data Engineering
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Head of Data Engineering
Amsterdam, Netherlands (Hybrid) | €110,000 – €150,000 + Bonus + Benefits
This is a rare opportunity to take ownership of a business-critical data transformation programme at a leadership level. As Head of Data Engineering, you will lead the build-out of a modern data platform, shape engineering standards, and develop a high-performing team while working closely with senior stakeholders to deliver long-term business value.
The Company
They are a growing, data-driven organisation investing heavily in their data and AI capabilities. With a clear roadmap and strong executive sponsorship, they are modernising their data estate and building a scalable platform to support analytics, AI, and business decision-making.
The organisation is moving from strategy into execution and is seeking an experienced data engineering leader to define best practices, drive delivery, and build a team capable of supporting ambitious growth plans.
The Role
You will lead the Data Engineering function, combining people leadership, technical oversight, and strategic delivery.
Responsibilities include:
- Building, leading, and mentoring a team of Data Engineers, Analytics Engineers, and Platform Engineers
- Defining and executing the data engineering roadmap in partnership with senior leadership
- Driving delivery across platform development, data migrations, and modernisation initiatives
- Establishing engineering standards covering code quality, CI/CD, testing, documentation, and operational excellence
- Overseeing architecture decisions to ensure scalable, reliable, and secure data solutions
- Developing cloud-based data platforms that support analytics, reporting, and AI use case
- Managing stakeholder relationships across technology, product, analytics, and business teams
- Ensuring platform reliability through monitoring, incident management, and operational governance
- Supporting hiring, team development, and succession planning within the engineering function
- Championing best practices across Data Engineering, DataOps, and platform operations
Your Skills & Experience
- Strong commercial experience leading Data Engineering teams and delivering large-scale data platform programmes
- Expertise with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud
- Strong understanding of data warehousing, data modelling, ETL/ELT pipelines, and orchestration tools
- Experience building and scaling engineering teams while maintaining high technical standards
- Ability to lead architectural discussions and make informed technical decisions
- Experience implementing CI/CD, automation, testing, and DataOps best practices
- Strong stakeholder management skills with the ability to translate business requirements into technical delivery plans
- Experience delivering complex transformation programmes, including migrations, consolidations, or greenfield platform builds
- Familiarity with governance, security, and compliance requirements within enterprise environments
- A hands-on leadership style with the ability to support technical teams when needed
What They Offer
- Salary between €110,000 and €150,000 depending on experience
- Performance-related bonus
- Comprehensive benefits package
- Flexible and hybrid working arrangements
- Opportunity to shape and scale an entire Data Engineering function
- Significant exposure to senior leadership and strategic decision-making
- Clear progression towards Director-level and broader Data & AI leadership responsibilities
- The chance to influence the organisation’s long-term data and AI strategy
How to Apply
If you’re an experienced Data Engineering leader looking to build teams, drive platform transformation, and make a lasting impact, apply today to discuss this opportunity in more detail.
To Apply for this Job Click Here
Data Platform Engineer
Newcastle upon Tyne
£73000 - £84000
+ Data Engineering
PermanentNewcastle upon Tyne, Tyne and Wear
To Apply for this Job Click Here
DATA PLATFORM ENGINEER
£73,000 – £84,000
NEWCASTLE (HYBRID – 2 DAYS PER WEEK)
This is an exciting opportunity to join a globally recognised professional services organisation that is investing heavily in Data, Cloud and AI capabilities. You’ll play a key role in shaping and owning a modern enterprise data platform, working alongside highly skilled engineers and architects while influencing technical decisions across the business.
THE COMPANY
Our client is a global professional services firm with thousands of employees operating across multiple international regions. They are continuing to invest significantly in technology, analytics and AI, creating a sophisticated data environment that supports business-critical decision making and innovation. This role sits within a growing technology function and offers the opportunity to work on a strategic platform at the centre of the organisation’s future data roadmap.
THE ROLE
- Own and oversee a cloud-based enterprise data platform built on Azure technologies
- Act as the technical lead for platform-related decisions, scalability and performance improvements
- Work closely with Infrastructure, Security, Architecture and Engineering teams
- Ensure platform reliability, governance, monitoring and operational excellence
- Troubleshoot complex platform, networking, storage and integration issues
- Drive best practice across CI/CD, automation and Infrastructure-as-Code
- Support Data Engineers by removing technical barriers and improving platform capabilities
- Contribute to platform modernisation, AI enablement and continuous improvement initiatives
YOUR SKILLS AND EXPERIENCE
- Strong experience in Data Engineering, Platform Engineering, Cloud Engineering or a similar field
- Excellent Azure experience within enterprise-scale environments
- Experience supporting and optimising cloud-based data platforms
- Strong understanding of Azure Data Factory, Databricks and modern data architecture principles
- Experience with CI/CD, Azure DevOps, Git and Infrastructure-as-Code tools such as Terraform
- Strong knowledge of Python and platform automation
- Experience making technical and architectural decisions
- Excellent stakeholder management and problem-solving skills
- Experience within regulated environments would be beneficial
SALARY AND BENEFITS
- £73,000 – £84,000 base salary
- Comprehensive benefits package
- Hybrid working model (2 days per week in Newcastle office)
- Exposure to cutting-edge Data, Cloud and AI initiatives
- Opportunity to influence enterprise-wide platform strategy
- Collaborative and highly technical engineering environment
HOW TO APPLY
Please register your interest by sending your CV through to Harry Lack the ‘Apply’ link.
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