Analytics Engineer – SQLMesh (Contactor)
London / £400 - £405 day
INFO
£400 - £405
LOCATION
London
Contract
Analytics Engineer - 6‑Month Contract
£400 per day (Inside IR35)
REMOTE anywhere in the UK
Start: 1st May
The Role
A growing data team within the digital/consumer sector is looking for a SQL‑first Analytics Engineer to help build out a robust, scalable analytics layer. You'll be joining a small, collaborative team focused on strengthening data models, improving governance, and laying the foundations for AI‑driven analytics.
This role sits at the intersection of data modelling, analytics engineering, and modern AI‑enablement. You'll transform raw data into well‑structured, trusted datasets that support decision‑making across the business - while also helping shape a semantic layer designed for future AI and LLM‑powered use cases.
You'll be joining at a pivotal moment: the platform is in place, proof‑of‑concepts are underway, and the team needs someone who can own modelling, testing and semantic design from day one.
What You'll Be Doing
- Designing and building clean, scalable data models for analytics, reporting, and self‑serve
- Writing highly efficient SQL to transform raw data into business‑ready datasets
- Using SQLMesh (or similar frameworks such as dbt) to orchestrate transformations
- Working with stakeholders to understand key business questions and model data accordingly
- Improving data quality, testing, documentation and governance
- Contributing to the development of a strong semantic layer to support AI/LLM adoption
- Exploring opportunities to integrate AI into analytics workflows and automation
- Ensuring data structures, metadata and context enable accurate natural‑language querying
- Understanding downstream impact - supporting analysts, engineers and business users
What We're Looking For
- Strong SQL‑first mindset - SQL as your primary problem‑solving tool
- Proven experience with transformation frameworks (SQLMesh, dbt, or similar)
- Solid understanding of data modelling principles and trade‑offs
- Experience building models in cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
- Ability to design intuitive, business‑friendly datasets
- Understanding of data architecture and how layers fit together
- Curious, pragmatic, collaborative - comfortable working in a small team
- Strong communication skills and willingness to ask for support when needed
Bonus Points
- Experience designing data models to support AI/ML or LLM‑based analytics
- Interest in using AI tools to enhance developer productivity
- Exposure to semantic layers or metrics layers
- Experience with customer data
- Ability to make thoughtful, real‑world trade‑offs in data design
Why This Role Has Come About
The team is scaling up its engineering capability and investing heavily in AI‑driven analytics. They've brought in another contractor and are now looking for someone who can:
- Strengthen and extend existing data models
- Build a robust semantic layer
- Support AI proof‑of‑concepts
- Improve governance and testing
- Ensure analytics models are reliable, well‑documented and scalable
This role will be critical in shaping how the business uses data - both operationally and through new AI‑enabled workflows.
Interview Process
- 1‑hour interview with the Data Lead
- Skills assessment focused on SQL, modelling, and analytics engineering
- Immediate availability - interviews scheduled this week
Contract Details
- £400 per day
- Inside IR35
- 6‑month contract
- Remote
- Start: End of April / 1 May
CONTACT
Olivia Kavaya-Savage
Business Manager - Contract
SIMILAR
JOB RESULTS
Analytics Engineer – SQLMesh (Contactor)
London
£400 - £405
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Analytics Engineer – 6‑Month Contract
£400 per day (Inside IR35)
REMOTE anywhere in the UK
Start: 1st May
The Role
A growing data team within the digital/consumer sector is looking for a SQL‑first Analytics Engineer to help build out a robust, scalable analytics layer. You’ll be joining a small, collaborative team focused on strengthening data models, improving governance, and laying the foundations for AI‑driven analytics.
This role sits at the intersection of data modelling, analytics engineering, and modern AI‑enablement. You’ll transform raw data into well‑structured, trusted datasets that support decision‑making across the business – while also helping shape a semantic layer designed for future AI and LLM‑powered use cases.
You’ll be joining at a pivotal moment: the platform is in place, proof‑of‑concepts are underway, and the team needs someone who can own modelling, testing and semantic design from day one.
What You’ll Be Doing
- Designing and building clean, scalable data models for analytics, reporting, and self‑serve
- Writing highly efficient SQL to transform raw data into business‑ready datasets
- Using SQLMesh (or similar frameworks such as dbt) to orchestrate transformations
- Working with stakeholders to understand key business questions and model data accordingly
- Improving data quality, testing, documentation and governance
- Contributing to the development of a strong semantic layer to support AI/LLM adoption
- Exploring opportunities to integrate AI into analytics workflows and automation
- Ensuring data structures, metadata and context enable accurate natural‑language querying
- Understanding downstream impact – supporting analysts, engineers and business users
What We’re Looking For
- Strong SQL‑first mindset – SQL as your primary problem‑solving tool
- Proven experience with transformation frameworks (SQLMesh, dbt, or similar)
- Solid understanding of data modelling principles and trade‑offs
- Experience building models in cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
- Ability to design intuitive, business‑friendly datasets
- Understanding of data architecture and how layers fit together
- Curious, pragmatic, collaborative – comfortable working in a small team
- Strong communication skills and willingness to ask for support when needed
Bonus Points
- Experience designing data models to support AI/ML or LLM‑based analytics
- Interest in using AI tools to enhance developer productivity
- Exposure to semantic layers or metrics layers
- Experience with customer data
- Ability to make thoughtful, real‑world trade‑offs in data design
Why This Role Has Come About
The team is scaling up its engineering capability and investing heavily in AI‑driven analytics. They’ve brought in another contractor and are now looking for someone who can:
- Strengthen and extend existing data models
- Build a robust semantic layer
- Support AI proof‑of‑concepts
- Improve governance and testing
- Ensure analytics models are reliable, well‑documented and scalable
This role will be critical in shaping how the business uses data – both operationally and through new AI‑enabled workflows.
Interview Process
- 1‑hour interview with the Data Lead
- Skills assessment focused on SQL, modelling, and analytics engineering
- Immediate availability – interviews scheduled this week
Contract Details
- £400 per day
- Inside IR35
- 6‑month contract
- Remote
- Start: End of April / 1 May
To Apply for this Job Click Here
Lead Data Platform Engineer (Azure & Databricks)
Edinburgh
£80000 - £85000
+ Data Engineering
PermanentEdinburgh
To Apply for this Job Click Here
LEAD DATA PLATFORM ENGINEER
£85,000 + BENEFITS
PRIMARILY REMOTE
This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.
THE COMPANY:
This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise
THE ROLE:
You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.
Key responsibilities include:
- Developing and deploying the Lakehouse platform in Azure.
- Owning Databricks engineering, administration and platform optimisation.
- Designing end‑to‑end data platform solutions
- Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
- Creating and maintaining CI/CD pipelines and automated testing frameworks.
- Developing APIs to support integration
- Implementing monitoring, logging and alerting for platform reliability.
YOUR SKILLS AND EXPERIENCE:
- Deep expertise in Databricks, PySpark, Python and SQL.
- Proven experience designing and delivering Lakehouse solutions.
- Strong DevOps capabilities, including CI/CD and automated testing.
- Experience with Infrastructure as Code and cloud automation.
- Familiarity with monitoring, logging and alerting tools.
- Strong stakeholder engagement and the ability to work across teams.
- Experience with APIs and data integration methods.
- Azure Data Factory experience is beneficial.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Lead Data Platform Engineer (Azure & Databricks)
Birmingham
£80000 - £85000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
LEAD DATA PLATFORM ENGINEER
£85,000 + BENEFITS
PRIMARILY REMOTE
This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.
THE COMPANY:
This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise
THE ROLE:
You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.
Key responsibilities include:
- Developing and deploying the Lakehouse platform in Azure.
- Owning Databricks engineering, administration and platform optimisation.
- Designing end‑to‑end data platform solutions
- Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
- Creating and maintaining CI/CD pipelines and automated testing frameworks.
- Developing APIs to support integration
- Implementing monitoring, logging and alerting for platform reliability.
YOUR SKILLS AND EXPERIENCE:
- Deep expertise in Databricks, PySpark, Python and SQL.
- Proven experience designing and delivering Lakehouse solutions.
- Strong DevOps capabilities, including CI/CD and automated testing.
- Experience with Infrastructure as Code and cloud automation.
- Familiarity with monitoring, logging and alerting tools.
- Strong stakeholder engagement and the ability to work across teams.
- Experience with APIs and data integration methods.
- Azure Data Factory experience is beneficial.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Lead Data Platform Engineer (Azure & Databricks)
Leeds
£80000 - £85000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
LEAD DATA PLATFORM ENGINEER
£85,000 + BENEFITS
PRIMARILY REMOTE
This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.
THE COMPANY:
This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise
THE ROLE:
You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.
Key responsibilities include:
- Developing and deploying the Lakehouse platform in Azure.
- Owning Databricks engineering, administration and platform optimisation.
- Designing end‑to‑end data platform solutions
- Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
- Creating and maintaining CI/CD pipelines and automated testing frameworks.
- Developing APIs to support integration
- Implementing monitoring, logging and alerting for platform reliability.
YOUR SKILLS AND EXPERIENCE:
- Deep expertise in Databricks, PySpark, Python and SQL.
- Proven experience designing and delivering Lakehouse solutions.
- Strong DevOps capabilities, including CI/CD and automated testing.
- Experience with Infrastructure as Code and cloud automation.
- Familiarity with monitoring, logging and alerting tools.
- Strong stakeholder engagement and the ability to work across teams.
- Experience with APIs and data integration methods.
- Azure Data Factory experience is beneficial.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Lead Data Platform Engineer (Azure & Databricks)
Manchester
£80000 - £85000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
LEAD DATA PLATFORM ENGINEER
£85,000 + BENEFITS
PRIMARILY REMOTE
This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.
THE COMPANY:
This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise
THE ROLE:
You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.
Key responsibilities include:
- Developing and deploying the Lakehouse platform in Azure.
- Owning Databricks engineering, administration and platform optimisation.
- Designing end‑to‑end data platform solutions
- Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
- Creating and maintaining CI/CD pipelines and automated testing frameworks.
- Developing APIs to support integration
- Implementing monitoring, logging and alerting for platform reliability.
YOUR SKILLS AND EXPERIENCE:
- Deep expertise in Databricks, PySpark, Python and SQL.
- Proven experience designing and delivering Lakehouse solutions.
- Strong DevOps capabilities, including CI/CD and automated testing.
- Experience with Infrastructure as Code and cloud automation.
- Familiarity with monitoring, logging and alerting tools.
- Strong stakeholder engagement and the ability to work across teams.
- Experience with APIs and data integration methods.
- Azure Data Factory experience is beneficial.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
HR Data Engineer (Contract)
London
£550 - £560
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
The Role
A leading organisation in the aviation sector is undertaking a major HR data transformation programme, migrating from a legacy Oracle environment into Snowflake to create a unified, scalable HR data platform.
The core data model has already been designed. The next phase focuses on:
- Building logical data layers
- Developing scalable ETL pipelines
- Delivering a centralised HR data product
- Enabling Power BI reporting and improved organisational insight
This is a highly hands‑on engineering role with significant influence over architectural decisions and delivery pace.
What You’ll Be Doing
Core Responsibilities
- Designing and developing ETL pipelines within Snowflake
- Working at the logical data modelling layer
- Challenging and supporting existing data architecture
- Collaborating with architects, data engineers, and insight teams
Ownership & Leadership
- Driving delivery of the HR data product within tight 4-6 week timelines
- Acting as a technical sounding board for architecture decisions
- Providing guidance and support to other engineers
Tech Stack
- Snowflake
- DBT
- Python (including Lambda for AWS workflows)
- AWS (data pipelines + infrastructure)
- Oracle (legacy system exposure beneficial)
- Power BI (understanding of downstream consumption)
Domain Experience
- Experience working with HR / People data is highly desirable
- Strong understanding of HR data structures and business logic
- Ability to translate engineering work into real business impact
Data Migration Scope
- Migration from Oracle → Snowflake
- Handling both current and historical datasets
- Supporting testing phases: CIT and UIT
Delivery Timeline
- Architectural design completing in 1-2 weeks
- Engineering build to begin immediately
- Initial HR core module delivery in 4-6 weeks
- Longer-term (up to 6 months):
- Feeding datasets into reporting
- Validation & analysis
- UAT beginning September
End Goal
- A fully unified, centralised HR data platform
- Integrated seamlessly with Power BI
- Scalable, reliable pipelines for ongoing analytics
- Stronger insight and reporting for HR and People functions
Interview Process
Stage 1 – 30 mins
CV walkthrough + technical discussion with a Data Engineer
Stage 2 – 45 mins
Competency + technical deep dive covering:
- DBT development & modelling
- Snowflake engineering
- AWS pipelines (Python / Lambda)
- Data migration approach
Onsite availability required Wednesday/Thursday in week two.
Ideal Candidate Profile
- Strong hands-on experience with Snowflake + DBT
- Proven track record building AWS‑based Python/Lambda pipelines
- Background in data migration projects
- Confident challenging architecture and taking ownership
- Experience with HR/People data strongly preferred
- Comfortable delivering at speed and under time pressure
To Apply for this Job Click Here
Social Media Analyst – Contract
London
£250 - £345
+ Digital Analytics
ContractLondon
To Apply for this Job Click Here
Social Media Analyst – Contract
Agency – FMCG Clients
£250-£345 per day – Inside IR35
London – 3 days per week in office
This is an exciting opportunity to join a newly built social function within a leading creative agency environment. You will play a key role in shaping how major consumer brands show up on social, bringing clarity to performance data and helping teams create culturally relevant work.
The Company
They are a well‑established creative group known for delivering impactful, audience‑first ideas across multiple platforms. Following recent integrations across their network, they have built a dedicated social unit that blends creative talent with data expertise. With a growing roster of high‑profile consumer brands, they are investing heavily in social excellence and analytics. This project sits at the heart of that growth.
The Role and Deliverables
- Deliver day to day social measurement and reporting across key consumer accounts.
- Analyse performance data from native platforms and client‑specific tools, providing clear insights and actionable recommendations.
- Build and maintain tagging taxonomies to support accurate categorisation and analysis.
- Produce weekly, monthly and quarterly reporting rhythms, including content performance reviews and strategic insight for forward planning.
- Support campaign analysis and client presentations with clear, narrative‑driven output.
- Stay closely attuned to UK social and internet culture, helping to ground insights in real audience behaviour.
Your Skills and Experience
- Strong experience analysing social performance data across platforms such as TikTok and Instagram.
- Confident working with tools such as Sprout, Sprinklr, Brandwatch, Talkwalker or similar.
- Comfortable exporting and working with data, plus able to turn numbers into clear stories and recommendations.
- Experience building or working with tagging taxonomies.
- A solid understanding of UK social culture and trends, particularly among younger demographics.
- Able to operate in a fast paced environment, balancing regular reporting cycles with campaign needs.
How to Apply
If this contract role sounds like a strong match, please submit your CV to be considered.
To Apply for this Job Click Here
Social Media Analyst
London
£250 - £340
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Social Media Analytics and Strategy
London, Inside IR35, £250-340/Day rate, Hybrid
This is an exciting opportunity to join a growing social division that has recently restructured and now has a clear roadmap for the year ahead. They are looking for a contractor who can blend hands‑on analytics with strategic thinking, supporting high‑profile social campaigns and always‑on activity.
The Company
They are a creative agency with a newly established social-focused team, built to deliver forward-thinking, platform-native content. With recent organisational changes and a refined structure now in place, they are strengthening their analytics capability to better support their portfolio of UK-based consumer brands. They work across fast-paced, culturally relevant accounts and operate in a highly collaborative environment. This project comes at a key moment as they embed new processes, tools and best practices across the team.
The Role and Deliverables
- Lead day-to-day social measurement and reporting across both always-on and campaign clients.
- Produce monthly and quarterly performance reports with clear insights and recommended actions.
- Extract and structure data from platform CMS and analytics tools.
- Feed ongoing observations, trends, and performance insights back into internal teams and clients.
- Translate data outputs into strategic recommendations and help run briefing sessions for content teams.
- Support social-first, Gen Z-focused campaigns with cultural insight specific to the UK market.
Your Skills and Experience
- Strong experience working with social analytics, reporting, and insight generation.
- Confident using social management tools such as Sprout or Sprinklr and accessing platform CMS data.
- Familiarity with social listening tools such as Talkwalker, Brandwatch, or similar.
- Solid understanding of UK social culture and platform behaviours, particularly across Instagram and TikTok.
- Ability to translate quantitative findings into a clear strategic direction for creative teams.
- Comfortable working hands-on with datasets, building tagging taxonomy or metadata frameworks where needed.
How to Apply
If this role sounds like the right fit, please apply with your latest CV.
To Apply for this Job Click Here
Staff AI Software Engineer
San Francisco, CA
$250000 - $300000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
STAFF AI SOFTWARE ENGINEER – AGENTIC SYSTEMS + AI ARCHITECTURE
$250,000 – $300,000 BASE + EQUITY
HYBRID – SAN FRANCISCO (TUES-THURS)
Are you excited about defining AI system architecture and building production-grade systems that power real-world, high-stakes decisions-not just prototypes?
Do you want to shape how agentic AI and LLM systems are designed at scale, influencing both product and engineering direction?
THE COMPANY
A fast-growing, venture-backed SaaS company in the compliance and security (GRC) space, helping organizations build trust at scale.
- Rapid growth and expanding into enterprise customers
- AI is central to the next phase of the company’s evolution
- Building next-gen platform with agentic workflows, LLMs, and automation
- Strong product-market fit with significant investment in AI infrastructure
THE ROLE
As a Staff AI Software Engineer, you’ll define and scale AI system architecture while remaining hands-on in building production systems.
- Architect and scale LLM-powered systems for reasoning, automation, and decision-making
- Design agentic workflows with multi-step orchestration, tools, and human-in-the-loop systems
- Lead development of RAG pipelines (retrieval, embeddings, reranking, evaluation)
- Establish best practices for LLM orchestration, evaluation, and cost/latency optimization
- Influence technical direction across teams and partner closely with product leadership
- Mentor engineers and raise the bar for AI system design and execution
YOUR SKILLS AND EXPERIENCE
- 10+ years of software engineering experience, including 3+ years building AI/LLM systems in production
- Deep expertise in system design and distributed systems architecture
- Strong experience with LLMs, RAG pipelines, and agentic AI workflows
- Strong Python skills (TypeScript a plus)
- Proven ability to design, ship, and scale end-to-end AI systems
- Ability to influence technical decisions and operate in high-ambiguity, fast-moving environments
THE BENEFITS
- Competitive base + meaningful equity
- Hybrid in San Francisco
- Opportunity to define next-gen AI architecture (agentic systems, RAG, LLMs)
- High-impact, high-visibility role with ownership over core product systems
- Work at the intersection of AI innovation and real-world enterprise impact
To Apply for this Job Click Here
Senior AI Engineer
San Francisco
$180000 - $220000
+ Data Management & Governance
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior AI Engineer (Agentic Systems & LLM Applications)
San Francisco, CA (Hybrid) Tuesday – Thursday (Onsite)
$180,000 – $220,000 base + equity + benefits
About the Company
This organization builds software that helps businesses operate with greater transparency, accountability, and trust. Its platform supports critical workflows around governance, risk, and operational decision-making, enabling teams to manage complex processes with speed and confidence.
The company has reached meaningful scale and is now investing heavily in its next phase – embedding advanced AI directly into core product workflows. This is not an experimentation layer; these are production systems that customers rely on to make real decisions.
Engineering teams operate with high ownership and low overhead. The environment rewards people who take initiative, challenge assumptions, and deliver systems that work in the real world.
About the Role
This is a high-ownership, builder role for engineers who want to push beyond “feature-level AI” and design systems that actually reason, act, and operate in production.
You will own end-to-end development of AI systems – from architecture and design through deployment, evaluation, and iteration. The focus is on building agentic systems and retrieval-driven pipelines that can handle complex, multi-step workflows across large volumes of structured and unstructured data.
This role is best suited for engineers who have already shipped LLM-based systems and want to go deeper – improving system reliability, designing evaluation frameworks, and building AI that can be trusted in high-stakes environments.
You’ll work closely with product and engineering leadership to define what gets built, not just how it gets built.
Key Responsibilities
- Architect and deploy production LLM systems capable of multi-step reasoning and decision support
- Build and scale agentic workflows that automate complex, long-running processes
- Design end-to-end RAG pipelines (ingestion, embeddings, retrieval, ranking, generation)
- Develop evaluation frameworks and guardrails to ensure system accuracy, reliability, and safety
- Optimize systems for latency, cost efficiency, and production performance
- Partner with product and engineering leaders to identify and prioritize high-impact AI opportunities
- Contribute to backend systems and infrastructure supporting large-scale AI deployment
Must Haves
- 7+ years of software engineering experience, including 2+ years building AI/ML systems
- Strong Python expertise and experience building production-grade systems
- Proven track record shipping LLM-based applications into production
- Hands-on experience with RAG pipelines, embeddings, and vector databases
- Experience building agent-based or multi-step AI systems
- Strong system design skills with experience in distributed systems
- Clear ownership of systems from initial concept through production and iteration
Nice to Have
- Experience with workflow orchestration or distributed task systems
- Familiarity with backend systems or TypeScript-based services
- Experience working with document-heavy or high-complexity datasets
- Exposure to evaluation frameworks, monitoring systems, or AI safety practices
Why Join
- Build AI systems that operate in real-world, high-stakes environments – not prototypes
- Own the architecture and evolution of agentic systems used by real customers
- Work on problems where correctness, reliability, and trust actually matter
- High autonomy with direct influence on product direction and technical strategy
- Strong compensation, meaningful equity, and comprehensive benefits
- In-person collaboration Tuesday-Thursday with a focused, high-caliber engineering team
- Opportunity to raise the technical bar alongside engineers who have shipped real systems
To Apply for this Job Click Here
Generative AI Engineer
Amsterdam
€60000 - €61000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Generative AI Engineer
Amsterdam, Hybrid (2 to 3 days on client site)
Competitive salary and benefits
This is an exciting opportunity to join a specialist AI consultancy where you will help organisations shape and implement impactful Generative AI strategies. You will work closely with clients, solve complex problems, and build solutions that move beyond experimentation into real business value.
The Company
They are a growing consultancy focused on delivering practical and scalable AI solutions. Their work spans strategy, architecture, and hands-on implementation across a wide range of industries. They prioritise collaboration, learning, and high-quality delivery. With a strong focus on innovation, they support clients in adopting Generative AI responsibly and effectively.
The Role
* Develop and deploy Generative AI solutions tailored to client needs.
* Collaborate with stakeholders to translate business challenges into technical approaches.
* Lead discovery sessions and support the design of AI roadmaps and architectures.
* Implement and optimise models using modern LLM frameworks and cloud environments.
* Work on client site in the Netherlands around two to three days per week.
* Support best practices around security, governance, and responsible AI.
Your Skills and Experience
* Strong capability in building and deploying Generative AI or LLM-based applications.
* Proven ability to work directly with stakeholders and communicate complex ideas clearly.
* Experience with cloud platforms, MLOps tooling, and modern AI frameworks.
* Ability to work in a consultancy or client-facing environment.
* Fluency in Dutch and English.
What They Offer
* Competitive salary and bonus structure.
* Hybrid working with autonomy and trust.
* Access to cutting-edge tooling and opportunities to lead high‑impact AI projects.
* Clear progression pathways and ongoing learning support.
How to Apply
If you are interested in this Generative AI Engineer position, please apply with your CV.
To Apply for this Job Click Here
Head of Analytics
London
£120000 - £160000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Head of Analytics
London, Hybrid
£90,000 to £160,000 plus bonus and benefits
This is a high-impact opportunity to shape a central Analytics function within a fast-growing, data-led organisation. You will lead a team at the heart of major transformation across analytics, AI, automation, and decisioning, giving you the scope to influence strategy while remaining hands-on.
The Company
They are a data-centric business investing heavily in analytics, AI, and modern data platforms. With strong commercial momentum and an evolving technology landscape, they are building out a central Analytics and MI capability to drive smarter, faster decision making. The organisation values innovation, collaboration, and the ability to turn data into meaningful insight.
The Role
You will lead a centralised Analytics and MI team, operating as a shared service across multiple business units including Finance, Marketing, and senior leadership.
Key responsibilities include:
* Evolving the function from reporting to actionable insight.
* Embedding AI tools into analytics workflows.
* Driving automation and improvements to data structures.
* Supporting the rollout of a new decision engine platform.
* Managing stakeholder relationships and prioritising work across diverse teams.
* Balancing leadership with hands-on analytical delivery.
Your Skills and Experience
* Strong experience leading Analytics or MI teams within a data-rich environment.
* Ability to translate data into clear commercial insight.
* Hands-on technical capability in SQL and Python.
* Familiarity with modern data tools such as Snowflake and Power BI or similar platforms.
* Experience using AI tools or automation in analytics workflows.
* Confident communicator with strong stakeholder management skills.
* Background in financial services is helpful but not essential.
HOW TO APPLY:
Apply by sending your CV to Joe by the link below
To Apply for this Job Click Here
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