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Analytics Engineer
London
£500 - £550
+ Data Engineering
ContractLondon
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ANALYTICS ENGINEER
6-MONTH CONTRACT
LONDON
£500-£600 PER DAY
This position as an Analytics Engineer offers an exciting opportunity to work within a leading consultancy at the forefront of data transformation. If you’re looking to move beyond routine projects and work on technically varied initiatives, this contract allows you to drive dbt implementations and enhance data modelling strategies. You’ll also have the opportunity to mentor others and refine best practices, positioning yourself as a key player in the dbt ecosystem.
THE COMPANY
This consultancy firm has a strong reputation in the sector, consistently evolving to meet the demands of modern data platforms. Working here will not only strengthen your CV but also provide invaluable experience in dbt-driven data transformations across diverse industries. We have placed both contract and permanent candidates here, with highly positive feedback on the collaborative culture and technical innovation.
THE ROLE
As an Analytics Engineer, you will play a vital role in a data transformation program, focusing on optimising data models and enabling analytics-driven insights. You will also be responsible for post-project documentation, ensuring clear communication with both technical and non-technical stakeholders.
Your key responsibilities will include:
- Designing and implementing scalable dbt models for efficient data transformation.
- Optimising ELT pipelines, ensuring clean and well-structured data for analytics.
- Enhancing dbt best practices, including modularity, testing, and version control.
- Collaborating with data engineers to integrate dbt into cloud data warehouses.
- Creating clear documentation to communicate technical processes effectively.
KEY SKILLS AND REQUIREMENTS
To succeed in this role, you should have:
- Strong commercial experience with dbt and its ecosystem.
- Proficiency in SQL for data modelling and transformation.
- Experience with Snowflake or other cloud data warehouses (BigQuery, Redshift).
- Understanding of ELT processes and cloud-based data architecture best practices.
- Familiarity with performance tuning and dbt documentation/testing strategies.
- Exposure to cloud platforms (AWS/GCP/Azure) and their data services.
HOW TO APPLY
Please register your interest by sending your CV via the apply link on this page.
To Apply for this Job Click Here
Lead Data Engineer
Blackburn
£70000 - £80000
+ Data Engineering
PermanentBlackburn, Lancashire
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LEAD DATA ENGINEER
£70,000-£80,000 + BENEFITS
ACCRINGTON (Hybrid)
An opportunity to join a scale up company to help oversee the design, development, and maintenance of their data infrastructure.
THE COMPANY:
This leading retailer is currently investing and growing within their financial services division, and are currently looking for an innovative and fast paced Lead Data Engineer to work on a modern tech stack (DBT and Snowflake) and help enable the team to make data driven insights by ensuring efficient, reliable, and secure data collection, storage, and processing.
THE ROLE:
A remote working Lead Data Engineer will need to:
- Design and build data models
- Manage and mentor engineers
- Ingest data into Snowflake
- Transform data using DBT
- Empower teams to make data driven teams
YOUR SKILLS AND EXPERIENCE:
A successful Lead Data Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Experience in designing, developing, maintaining data pipelines (DBT and Snowflake)
- Leadership and mentoring experience
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £80,000 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
Principal Data Architect
London
£90000 - £120000
+ Data Engineering
PermanentLondon
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Principal Data Architect – Hybrid – London – No Sponsorship Available
About the Role
We are seeking an experienced and visionary Principal Data Architect to join a leading consultancy in the financial services sector. This strategic role involves leading complex, high-profile data initiatives that drive innovation and transformation for major financial institutions.
The Company
Our client is a globally recognized consultancy specializing in technology and business transformation within financial services. Known for fostering an entrepreneurial culture and championing diversity, they empower their teams to deliver impactful solutions in a collaborative and inclusive environment.
Key Responsibilities
- Lead large-scale data architecture projects, providing strategic direction and expert guidance.
- Partner with senior technology leaders to develop and implement modern data strategies.
- Design and deliver innovative solutions for data management, governance, and cloud migration.
- Oversee the development of robust data platforms using cutting-edge cloud technologies.
- Manage project teams, mentor junior staff, and support business development initiatives.
Ideal Candidate Profile
- Extensive experience in enterprise data architecture, strategy, and implementation.
- Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable.
- In-depth knowledge of data modeling, data lake design, and metadata management tools.
- Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems.
- Experience in the financial services sector, with a track record of success in complex environments.
- Outstanding leadership and stakeholder management skills, with a collaborative and innovative mindset.
Why Join Us?
- Work on transformative projects with leading financial institutions.
- Join a global network of data strategists, architects, and engineers.
- Enjoy a non-hierarchical, inclusive culture that values your expertise.
- Take advantage of extensive learning and career development opportunities.
- Access competitive family-friendly benefits, including enhanced leave and wellness programs.
If you’re passionate about data innovation and ready to lead groundbreaking projects, we encourage you to apply for the Principal Data Architect role today.
To Apply for this Job Click Here
Senior Data Architect
London
£70000 - £88000
+ Data Engineering
PermanentLondon
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Senior Data Architect – London – Hybrid – No Sponsorship Available
About the Role
We are looking for a talented Senior Data Architect to join a global consultancy specializing in financial services. This role offers the chance to work on high-impact projects, shaping modern data strategies and solutions for leading financial institutions. If you have a passion for innovation and a deep understanding of data systems, we want to hear from you.
The Company
Our client is a top-tier technology and business consultancy known for its innovative approach and commitment to diversity and inclusion. With a strong presence in the financial services sector, they empower their employees to deliver meaningful results and thrive in a collaborative, inclusive environment.
Key Responsibilities
- Deliver data architecture projects, working closely with clients to design efficient and scalable solutions.
- Provide best practice guidance for data management, architecture design, and optimization.
- Develop modern data architecture frameworks, including cloud migration strategies and governance models.
- Collaborate with multidisciplinary teams to deliver robust, future-ready solutions.
- Drive data transformation initiatives to unlock value and operational efficiency.
Ideal Candidate Profile
- Demonstrable experience in data architecture, strategy, and governance within enterprise settings.
- Expertise in cloud technologies (AWS, Azure, or GCP) with relevant certifications preferred.
- Strong knowledge of data modeling, cloud migration patterns, and data governance tools.
- Hands-on experience with data privacy, security frameworks, and cost management in cloud ecosystems.
- Excellent communication skills, with the ability to convey complex technical concepts to diverse audiences.
- Experience in financial services or other complex industries is advantageous.
What You’ll Gain
- Collaborate with a global network of data professionals and industry experts.
- Work on transformational projects for some of the largest financial institutions.
- Enjoy a flat, inclusive structure where your contributions are recognized.
- Access learning and development programs to enhance your career growth.
- Benefit from family-friendly policies, including enhanced leave and wellness support.
If you’re ready to elevate your career and make a meaningful impact, apply now for this exciting opportunity as a Senior Data Architect.
To Apply for this Job Click Here
Lead data engineer
Paris
€70000 - €75000
+ Data Engineering
PermanentParis, Île-de-France
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LEAD DATA ENGINEER (CDI)
UP TO 75K€ FIXE + 7K VARIABLE
2 jours de télétravail/semaine
Spark – Scala – Azure databricks
Une grande entreprise recherche un Lead data engineer pour accompagner les équipes data et développement sur la gestion de leur infrastructure. Le domaine de l’assurance vous intéresse ? Alors cette offre est faite pour vous !
LE POSTE
Rattaché au directeur data, vous allez l’appuyer pour encadrer techniquement une équipe de 6 personnes (développeurs et data engineers) sur le cadrage et la delivery des projets. Vos responsabilités au quotidien :
- Accompagnement technique des développeurs (principalement Spark, Scala) pour prioriser les projets, assurer le delivery. Vous serez aussi amené à développer en Scala
- Alimentation de la datalake, essayer de collecter des nouvelles données pour répondre à des problématiques business (acquisition, rétention, fraude)
- Contribuer à l’enrichissement de la plateforme
- Participation aux réflexions sur les architectures et proposer des solutions techniques qui répondent aux besoins
- Travailler sur des sujets finops pour l’optimisation
VOTRE PROFIL
- Bac+5 diplôme d’ingénieur
- Minimum 4 ans d’expérience sur un poste similaire et minimum 2 ans sur un poste de lead
- Vous comprenez le fonctionnement technique de Spark et Scala côté back
- Expérience sur un cloud, idéalement Azure
- Connaissance de Databricks et de SQL obligatoire
- Niveau d’anglais B2 minimum
POUR POSTULER
Merci de joindre votre cv à jour.
To Apply for this Job Click Here
Lead Data Engineer
Paris
€60000 - €75000
+ Data Engineering
PermanentParis, Île-de-France
To Apply for this Job Click Here
LEAD DATA ENGINEER
PARIS – HYBRIDE
UP TO 75K EUR FIXE + Variable
Spark – Scala – Databricks
VOTRE MISSION :
- Encadrer et accompagner une équipe pluridisciplinaire, tout en appuyant et collaborant le Head of Data pour les décisions stratégiques
- Concevoir et gérer l’architecture data, en incluant la mise en place et le développement de pipelines de données, ainsi que la gestion des flux de données
- Optimiser les outils existants pour améliorer l’efficacité des process et maitriser les couts
- Mettre en place l’automatisation et l’optimisation du déploiement des modèles et traitements data
VOTRE PROFIL :
- Vous possédez un diplôme d’ingénieur
- Vous avez au moins 4 ans d’expérience hors stage et alternance en tant que Data Engineer ; dont 2 ans minimum dans un poste de Lead
- Vous êtes expert sur Spark ; Scala et Databricks
- La connaissance d’un Cloud est obligatoire ; de préférence Azure
Ce poste est à pourvoir en CDI uniquement pour des profils résidents déjà en France.
To Apply for this Job Click Here
Analytics Engineer
Leeds
£65000 - £70000
+ Data Engineering
PermanentLeeds, West Yorkshire
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ANALYTICS ENGINEER
£65,000-£70,000 + BENEFITS
PIMARILY REMOTE
An opportunity to join a popular telecoms company expanding into new markets!
THE COMPANY:
Over the past few years, this telecoms company has expanded and focused on a product technology led approach. With a rich data set, they have lots of data to work with and are keen to bring in an Analytics Engineer to help with data modelling and transformation.
THE ROLE:
A remote working Analytics Engineer will need to:
- Design and build data models
- Support implementation and maintenance of ELT pipelines
- Ingest data into Snowflake
- Transform data using DBT
- Empower teams to make data driven teams
YOUR SKILLS AND EXPERIENCE:
A successful Analytics Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Strong experience in SQL/Python
- Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
- Data transformation experience using DBT
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £65,000 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
IT Security Analyst
Birmingham
£25000 - £34000
+ Data Engineering
PermanentBirmingham, West Midlands
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IT Security Analyst
£25,000 – £34,000
Birmingham – On site
This role is to support a global leader in the Manufacturing space. The role is to support Information Security / Data Protection initiatives and operational IT Security tasks, to minimise risks consistent with business strategy.
Key Responsibilities:
- Provide IT Security advice to business stakeholders.
- Develop and maintain policies and controls.
- Support third-party and supplier compliance initiatives.
- React and respond to day-to-day security related service desk tickets.
- Oversee day-to-day operational compliance and reporting.
- Create and develop IT Security improvement plans.
- Complete Vulnerability management initiatives.
- Manage a rolling penetration testing programme of work.
- Support Vendor Assurance assessments for new services and applications.
Critical Competencies for Success:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Demonstrable experience in IT Security operations.
- Knowledge of IT Security technologies and experience working with associated tooling including MDR, EDR, SIEM, SOAR, endpoint / server protection and incident response.
- An understanding of and experience dealing with Cloud architecture, networking and firewalls. § Understanding of security standards (e.g., GDPR, RIPA, ISO/IEC 27001, NIS2).
- Security risk management (including assessment and treatment).
- Understanding of IT Service Management frameworks (e.g., ITIL).
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
No sponsorship is available
To Apply for this Job Click Here
Lead Data Engineer
Accrington
£70000 - £80000
+ Data Engineering
PermanentAccrington, Lancashire
To Apply for this Job Click Here
LEAD DATA ENGINEER
£70,000-£80,000 + BENEFITS
ACCRINGTON (Hybrid)
An opportunity to join a scale up company to help oversee the design, development, and maintenance of their data infrastructure.
THE COMPANY:
This leading retailer is currently investing and growing within their financial services division, and are currently looking for an innovative and fast paced Lead Data Engineer to work on a modern tech stack (DBT and Snowflake) and help enable the team to make data driven insights by ensuring efficient, reliable, and secure data collection, storage, and processing.
THE ROLE:
A remote working Lead Data Engineer will need to:
- Design and build data models
- Manage and mentor engineers
- Ingest data into Snowflake
- Transform data using DBT
- Empower teams to make data driven teams
YOUR SKILLS AND EXPERIENCE:
A successful Lead Data Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Experience in designing, developing, maintaining data pipelines (DBT and Snowflake)
- Leadership and mentoring experience
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £80,000 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
IAM Analyst
Sheffield
£250 - £300
+ Data Engineering
ContractSheffield, South Yorkshire
To Apply for this Job Click Here
Title: IAM Analyst
IR35: Inside
Location: Sheffield (TBC)
Length: 6 months
Essential Skills:
- MFA Security Policies – Design & enforce adaptive authentication, conditional access, risk-based authentication.
- Identity & Access Management – Automate user provisioning/de-provisioning, implement RBAC, federated identity management, PAM.
- Authentication Protocols – Secure methods (Kerberos, OAuth, OIDC, SAML).
- Process & Workflow Mapping – Analyze, document, and optimize current/future processes.
- Risk & Stakeholder Communication – Identify risks, communicate effectively.
- IT Transformation & Migration – Experience with large-scale projects.
- Tools Proficiency – Excel, PowerPoint, Visio/Lucid Chart, Jira, Confluence.
- Strong Communication – Clear spoken & written English for cross-team collaboration.
To Apply for this Job Click Here
Security Consultant
Bristol
£450 - £550
+ Data Engineering
ContractBristol
To Apply for this Job Click Here
Security Consultant
12 Months
Outside IR35
Bristol Area (Hybrid -2-3 days a week)
Experience & Skills:
- 2+ years implementing CMMC L2 for SME defense contractors in hybrid/cloud environments (M365 Gov Cloud, NetSuite, Azure).
- 10+ years as a cybersecurity consultant, uplifting SME cybersecurity posture with minimal documentation.
- Strong documentation skills and ability to work independently.
Tools/Technologies:
- MS Defender, Darktrace, KnowBe4, Patch management, VPN, MS Compliance Center.
To Apply for this Job Click Here
Senior Data Engineer
New York City
$55 - $60
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Job Title: Data Engineer (Databricks, ETL, Data & AI Platforms)
Location: Remote in New York, Boston or Chicago
Job Type: Contract (40 hours a week)
We are working with a financial services firm that specializes in providing insights and analytics for banks, lenders, and other financial institutions. Their core focus is helping clients optimize their pricing, profitability, and customer engagement strategies through advanced data analysis and market intelligence
We are looking for a skilled and motivated Data Engineer with 3 years of expertise in Databricks, ETL processes, and building scalable data and AI platforms. This role is pivotal in supporting the migration of products and will involve designing, implementing, and optimizing data pipelines to ensure seamless data integration across various systems. The ideal candidate will be passionate about leveraging cutting-edge technology to build robust and efficient data systems to power business intelligence, analytics, and AI-driven initiatives.
Key Responsibilities:
- Databricks Development: Design, build, and optimize scalable data pipelines using Databricks to process large datasets and integrate various data sources into a unified data platform.
- ETL Pipelines: Develop and manage ETL processes to ingest, transform, and load data from diverse sources (on-premise and cloud-based) into data lakes or data warehouses. Ensure data quality, consistency, and integrity throughout the entire pipeline.
- Platform Development: Build and maintain data and AI platforms, ensuring that they are secure, efficient, and capable of handling high volumes of data. Collaborate closely with AI/ML teams to enable seamless integration of models into production systems.
- Product Migration Support: Assist in the migration of legacy systems and products to modern cloud-based data solutions. Ensure smooth data transfer, transformation, and system integration during the migration process.
- Data Modeling: Collaborate with data scientists, analysts, and business stakeholders to design and implement appropriate data models for business intelligence and machine learning workloads.
- Optimization and Monitoring: Optimize performance of data pipelines and platforms for speed and cost-effectiveness. Continuously monitor the health of data systems, troubleshoot issues, and implement improvements.
- Collaboration and Documentation: Work closely with cross-functional teams including data scientists, DevOps, and product managers to ensure alignment with business needs and best practices. Maintain comprehensive documentation for all data engineering processes, pipelines, and systems.
- Security and Compliance: Ensure all data solutions meet security, privacy, and compliance standards. Implement proper access controls and data governance measures.
Key Skills & Qualifications:
- Databricks: Proven experience working with Databricks, including developing and managing notebooks, jobs, and clusters, as well as leveraging Spark for distributed data processing.
- ETL Tools and Frameworks: Strong experience with ETL technologies (e.g., Apache Airflow, AWS Glue, or Azure Data Factory), and proficiency in building end-to-end data pipelines.
- Data Integration: Expertise in integrating structured and unstructured data from multiple sources, including relational databases, APIs, and cloud-based data sources.
- Cloud Technologies: Experience with cloud platforms such as AWS, Azure, or Google Cloud, including data storage services (e.g., S3, Blob Storage, BigQuery) and compute services.
- Data Warehousing: Experience with modern data warehousing solutions such as Snowflake, Redshift, or BigQuery.
- Programming Languages: Proficient in Python, Scala, or Java for building data pipelines, along with knowledge of SQL for querying and managing relational databases.
- AI/ML Collaboration: Familiarity with data science and machine learning concepts, with experience enabling AI workflows on data platforms.
- Problem-Solving: Strong troubleshooting, debugging, and performance optimization skills.
- Communication: Excellent communication and collaboration skills, able to work effectively with stakeholders at all levels of the organization.
Preferred Qualifications:
- Experience with automated deployment pipelines and CI/CD in data engineering workflows.
- Familiarity with data governance tools and frameworks (e.g., Apache Atlas, AWS Lake Formation).
- Experience with containerization technologies such as Docker and Kubernetes.
- Knowledge of data security principles and best practices in a cloud-based environment.
To Apply for this Job Click Here
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