1,126 to 1,150 of 2,969 Data Engineer Jobs

Social network you want to login/join with: We are partnered with a fast growing Data and AI specialist consultancy firm that are looking to expand their data engineering team. As a Data Engineer you will have extensive experience working with AWS cloud services, Terraform, SQL, and Python for automation and data processing. This … role involves designing, building, and maintaining scalable data pipelines, optimising data storage solutions, and ensuring data integrity and availability across their clients platforms. Key Responsibilities : Develop, maintain, and optimize ETL processes using AWS services such as Glue, Lambda, and Step Functions. Create and manage data workflows that extract data from various sources, transform it, and … load it into our data warehouses and data lakes. Utilise Terraform to automate the provisioning and management of AWS resources. Ensure that infrastructure is designed for scalability, security, and cost-effectiveness. Design and optimise data storage solutions using AWS services such as S3, Redshift, RDS, and DynamoDB. Ensure data is stored efficiently and securely, with appropriate More ❯

View more categories View less categories Sector Business Services Responsibilities Executive Management Position/Level Senior Management Contract Type Permanent Data Engineer | Data Consultant | Azure | Fabric | Python | SQL | PySpark Fabric Data Consultant - Up to £75,000 London - 3 days in-office Method Resourcing are thrilled to be partnering with a Microsoft Solutions Partner to support them … in hiring a Data Consultant to focus on and specialise on their current and upcoming Fabric projects. This is a fantastic time to be joining the business who have grown substantially in the past 12 months and have a very strong pipeline of projects confirmed for the coming 18 months. You will be an in-house specialist for Microsoft … fabric and work on a variety of projects, focusing largely on Data Engineering tasks and work streams to deliver Fabric/Azure solutions for a range of clients. For this role, we are looking for someone who can demonstrate experience in the following areas: Very strong Azure experience - Ideally using ADF, Databricks, ADLS etc - Fabric experience is very desirable More ❯

Principal Data Engineer £95,000 - £105,000 + Bonus London (other UK locations available) A top-tier global consultancy is in search of a Data Engineer (Principal Consultant) to drive the delivery of cloud-native data platforms across complex, high-impact environments. If you’re passionate about data engineering, experienced in building practices and … RFI/RFP), and want to work in an organisation that values creativity, autonomy, and technical excellence — this could be the one. What you’ll do as a Principal Data Engineer: • Lead the architecture and build of modern data platforms using AWS-native tools (S3, Redshift, Lambda, Glue, DynamoDB, Matillion, etc.). • Drive best practices in CI …/CD, Infrastructure-as-Code, and data ops methodologies. • Liaise directly with clients to define requirements, shape technical solutions, and oversee successful delivery. • Contribute to practice growth through recruitment, coaching, and mentoring. • Lead business development activities including RFI/RFP responses and proposal development. • Ensure solutions are secure, scalable, and production-ready. • Be an advocate of clean code, DevOps More ❯

Principal Data Engineer £95,000 - £105,000 + Bonus London (other UK locations available) A top-tier global consultancy is in search of a Data Engineer (Principal Consultant) to drive the delivery of cloud-native data platforms across complex, high-impact environments. If you’re passionate about data engineering, experienced in building practices and … RFI/RFP), and want to work in an organisation that values creativity, autonomy, and technical excellence — this could be the one. What you’ll do as a Principal Data Engineer: • Lead the architecture and build of modern data platforms using AWS-native tools (S3, Redshift, Lambda, Glue, DynamoDB, Matillion, etc.). • Drive best practices in CI …/CD, Infrastructure-as-Code, and data ops methodologies. • Liaise directly with clients to define requirements, shape technical solutions, and oversee successful delivery. • Contribute to practice growth through recruitment, coaching, and mentoring. • Lead business development activities including RFI/RFP responses and proposal development. • Ensure solutions are secure, scalable, and production-ready. • Be an advocate of clean code, DevOps More ❯

Social network you want to login/join with: Eames are currently partnered with a speciality (re)insurer who are looking for a Senior Informatica Cloud Data Engineer to support the delivery of a new enterprise-wide data strategy and modern multi-cloud data platform. This role can be based from either Liverpool or Manchester. It … week) and pays up to circa £95,000 depending on experience, plus bonuses and benefits. The role: Work with modern Informatica Cloud and Azure technologies to build a new data platform. Coordinate with delivery teams to gather requirements and oversee the development of data products. Align solutions with business needs and enterprise standards by collaborating with business and … technical teams. Ensure projects stay within budget and comply with regulations, data quality standards, and governance requirements by working with data management leads. The candidate: Strong hands-on technical skills with Informatica Cloud services In-depth ETL, data warehousing, modelling, and data delivery knowledge Experience with SQL and Python Experience working in a highly regulated environment. More ❯

job poster from JSS Transform Recruiting Change & IT professionals into the Insurance Markets- antoni.eyres@jss-transform.com 07384751215 We’re working with a leading insurance organisation undergoing a large-scale data transformation, and they’re now seeking a Senior Data Engineer to play a key role in building and improving their data architecture and governance capabilities as … part of a major programme of work. Key Responsibilities: Design and implement robust data pipelines and integration frameworks. Support the implementation and enhancement of Master Data Management (MDM) solutions. Work with business and technical stakeholders to ensure data quality, consistency, and governance across systems. Collaborate closely with data architects, analysts, and engineering teams to support strategic … data initiatives. Key Skills & Experience: Strong experience as a Data Engineer in enterprise environments. Proven expertise with MDM tools (e.g. Informatica MDM, Reltio, Semarchy, IBM InfoSphere, etc.). Solid background in data integration, ETL, and data warehousing concepts. Proficiency in SQL and modern data engineering tools/platforms. Experience working in the insurance or More ❯

Lead Data Engineer We're working with a high-growth digital business that’s investing heavily in its internal engineering and data function. As they continue scaling their operations across multiple markets, they’re looking to bring on an experienced Lead Data Engineer to help shape a brand-new, real-time data platform. 🚀 About … the Role This is a hands-on individual contributor role with significant strategic impact. You’ll be responsible for architecting, building, and optimising real-time data infrastructure, collaborating closely with engineering, product, and analytics teams to ensure seamless data flow across the organisation. You’ll own the full data lifecycle—from ingestion to transformation and delivery—leveraging … modern cloud and streaming technologies. 🔧 Responsibilities Design and build scalable, low-latency real-time data pipelines Integrate diverse data sources and ensure data accuracy and integrity Develop and maintain data models optimised for real-time querying Build fault-tolerant ingestion processes and ensure high availability Implement logging, monitoring, and alerting for infrastructure health Partner with cross More ❯

Lead Data Engineer We're working with a high-growth digital business that’s investing heavily in its internal engineering and data function. As they continue scaling their operations across multiple markets, they’re looking to bring on an experienced Lead Data Engineer to help shape a brand-new, real-time data platform. 🚀 About … the Role This is a hands-on individual contributor role with significant strategic impact. You’ll be responsible for architecting, building, and optimising real-time data infrastructure, collaborating closely with engineering, product, and analytics teams to ensure seamless data flow across the organisation. You’ll own the full data lifecycle—from ingestion to transformation and delivery—leveraging … modern cloud and streaming technologies. 🔧 Responsibilities Design and build scalable, low-latency real-time data pipelines Integrate diverse data sources and ensure data accuracy and integrity Develop and maintain data models optimised for real-time querying Build fault-tolerant ingestion processes and ensure high availability Implement logging, monitoring, and alerting for infrastructure health Partner with cross More ❯

Position: Data Engineer Position Type: Permanent (Hybrid) Location: Barcelona, Spain Job Description: Experience in data engineering architecture, data governance, and data processing. At least 2 to 3+ years as a Databricks SQL data engineer on AWS for a large/high volume project. Experience of supporting Enterprise Databricks deployments especially with regards to … of the solution presented to your team. Implement and maintain database code in the form of tables, scripts, queries, views, triggers, etc. Process Skills: Must know end-to-end data engineering pipeline development, capturing business requirements, ensuring data quality, and ongoing maintenance of pipelines. Behavioral Skills: Good communication skills in English; Collaborative team player; Self-starter; Excellent documentation More ❯

Lead Data Engineer We're working with a high-growth digital business that’s investing heavily in its internal engineering and data function. As they continue scaling their operations across multiple markets, they’re looking to bring on an experienced Lead Data Engineer to help shape a brand-new, real-time data platform. About … the Role This is a hands-on individual contributor role with significant strategic impact. You’ll be responsible for architecting, building, and optimising real-time data infrastructure, collaborating closely with engineering, product, and analytics teams to ensure seamless data flow across the organisation. You’ll own the full data lifecycle—from ingestion to transformation and delivery—leveraging … modern cloud and streaming technologies. Responsibilities Design and build scalable, low-latency real-time data pipelines Integrate diverse data sources and ensure data accuracy and integrity Develop and maintain data models optimised for real-time querying Build fault-tolerant ingestion processes and ensure high availability Implement logging, monitoring, and alerting for infrastructure health Partner with cross More ❯

Looking for an exciting contract opportunity as a Databricks Data Engineer? Work on impactful projects in a dynamic environment, utilizing your skills in data modeling and Capital Markets or Banking experience. Ready for your next challenge? Key expertise and experience we’re looking for: Data Engineering in Databricks Spark programming with Scala, Python, SQL Ideally experience … with Delta Lake Databricks workflows, jobs, etc. Familiarity with Azure Data Lake: experience with data ingestion and ETL/ELT frameworks Data Governance experience – Metadata, Data Quality, Lineage, Data Access Models Good understanding of Data Modelling concepts, Data Products and Data Domains Unity Catalog experience is a key differentiator – if not then … experience with a similar Catalog/Data Governance Management component MS Purview (Metadata and Data Quality tool) experience is a bonus – experience in similar tools is valuable (Collibra, Informatica Data Quality/MDM/Axon etc.) Ideally Capital Markets, or at least Banking experience Data Architecture experience is a bonus Contract Details: Type: Contract Rate More ❯

with your recruiter to learn more. Base pay range Direct message the job poster from Accelero Recruitment Consultant @ Accelero | Here to support your Hiring needs Becca.Owen@accelerogroup.co.uk Job Title: Data Engineer About the Role We're looking for an experienced Data Engineer to join our growing team, supporting large-scale data migration and transformation projects. … position with just 1–2 days per month required in our Nottingham office. As a key member of the engineering team, you’ll help design, build, and maintain robust data pipelines using Python and PySpark , enabling powerful analytics and smarter business decisions across the organisation. What You'll Be Doing Design and build scalable ETL/ELT data pipelines using Python and PySpark Lead and support data migration initiatives across legacy and cloud-based platforms Collaborate with analysts, data scientists, and stakeholders to deliver high-quality, reliable data solutions Ensure best practices in data engineering, including quality, testing, and performance tuning Contribute to the evolution of our data platform architecture What We More ❯

Data Engineer (AI-Driven SaaS Platform) Technologies: Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS Environment: Large-scale data environment, Fully remote UK, Microservices architecture About the Role Are you a Data Engineering enthusiast who thrives on designing and implementing robust ETL processes, highly scalable data structures, and data pipelines … within an enterprise-scale data processing environment? Do you want to work on an AI-Driven SaaS platform used by some of the world's biggest brands? This is your chance to help build a new Data Infrastructure and leverage the power of data on large-scale processing systems. Company Overview Our client has an award-winning … global clients and millions of users. Built from scratch with no legacy code, they utilize the latest technology stack within a true Microservices environment. Candidate Profile Seeking a senior data engineer to take ownership of data modelling and engineering. You should have a robust infrastructure background, understanding of system migrations, and experience with data warehousing concepts. More ❯

Data Development & Implementation Engineer Base Salary: Up to £95 000 + bonus & full benefits package Location: England (UK work eligibility required) - Manchester or Greater London Scaling cloud-native data estate this role requires a energetic engineer with Snowflake’s Zero-Copy Cloning and Time Travel, hard-wire best-practice ETL/ELT, and push CI/… CD out of slideware and into production. If you can transform raw data into decision-grade assets at enterprise scale, keep reading. PROJECTS TO DO Cloud data warehousing – Build and optimise Snowflake environments leveraging Zero-Copy & Time Travel for instant, cost-neutral cloning and back-dated recovery. Deep ingestion pipelines – Orchestrate high-volume, low-latency data flows … that meet strict SLAs. DBT Cloud modelling – Design modular DBT models, enforce version control, and automate testing. CI/CD for data – Embed automated build, test, and deploy in every pipeline; no manual touches. Governance & quality – Enforce lineage, metadata, and security controls as code—no exceptions. REQURIMENTS Mastery of SQL on multi-terabyte datasets. Proven Snowflake engineering, ideally across More ❯

Analytics Data Engineer Location: London (Hybrid/Remote available) Salary: £45,000 - £70,000 based - on experience The Opportunity A leading Financial Services organisation is seeking exceptional Analytics Data Engineers to join their ambitious Data Transformation initiative. This is a permanent role offering competitive compensation and flexible working arrangements. As an Analytics Data Engineer, you will be at the forefront of their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business … domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service: Create intuitive data models and provide training to empower business users to explore data independently Own the Data Lifecycle: Take More ❯

Analytics Data Engineer Location: London (Hybrid/Remote available) Salary: £45,000 - £70,000 based - on experience The Opportunity A leading Financial Services organisation is seeking exceptional Analytics Data Engineers to join their ambitious Data Transformation initiative. This is a permanent role offering competitive compensation and flexible working arrangements. As an Analytics Data Engineer, you will be at the forefront of their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business … domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service: Create intuitive data models and provide training to empower business users to explore data independently Own the Data Lifecycle: Take More ❯

them with fractional specialists. Our client is an international, privately owned, high growth technology services company, serving the world’s most respected financial institutions. They’re hiring a Python Data Engineer to join their Internal Audit Data Team in Birmingham. This is a high-trust role for someone who thrives in complex, regulated environments and knows how … to deliver high-performance data pipelines in the cloud. Role You’ll build robust data infrastructure to enable smarter audit and risk insights. You’ll design scalable ETL/ELT pipelines in Python (with PySpark) and orchestrate them using tools like Databricks and Snowflake. You’ll work with structured and unstructured data across the firm, integrating APIs … batch loads, and real-time streams. Your work will power cross-functional audit teams, so documentation, data lineage, and reproducibility will be key. Expect hands-on collaboration with stakeholders, ownership of quality checks, and a strong focus on data governance, compliance, and cloud optimisation. Qualifications * 3+ years of Python-based data engineering experience * Proven experience with Databricks More ❯

Are you a data engineer looking to work alongside software developers and machine learning scientists to build a comprehensive data platform? At AEE, you will: Design, implement, and support analytical data infrastructure for both business intelligence and machine learning applications Manage AWS resources including EC2, Redshift, EMR-Spark, etc. Collaborate with applied scientists to build data pipelines for training machine learning models Work with Product Managers, Financial, and Business analysts to improve reporting practices: data integrity, testing, analysis, validation, and documentation Interface with tech teams to extract, transform, and load data using SQL and AWS big data technologies Explore and adopt the latest AWS technologies to enhance capabilities and efficiency Implement advanced … analytics algorithms for statistical analysis, prediction, clustering, and machine learning Improve reporting and analysis processes, automating or simplifying self-service support for customers Requirements include: 3+ years of data engineering experience 4+ years of SQL experience Experience with data modeling, warehousing, and ETL pipelines Proficiency with AWS technologies such as Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, and More ❯

Prestigious opportunity for a Data Platform Engineer within a pioneering technology team based in Manchester. Following a period of significant growth, investment and a cloud transformation, we are inviting you to join our success story! As our Azure Data Platform Engineer, you will be responsible for:- Designing, building, and maintaining scalable data solutions on Microsoft … Azure. Designing and implementing scalable data pipelines using Azure Data Factory, Databricks, Synapse Analytics, and other Azure services. Leading technical workstreams and supporting project delivery. Acting as the subject-matter expert for cloud-based data engineering. Ensure data governance, security, and compliance standards are met. Monitoring and troubleshooting data platform performance and issues. Automate data … transformation, and integration processes. Document technical solutions and maintain best practices. If you possess a combination of some of the following skills, then LETS TALK! Proven experience with Azure data services (SQL, Data Factory, Data Lake, Synapse, Databricks, Azure SQL and Cosmos DB). Strong proficiency in designing and operating scalable data solutions and pipelines. Familiar More ❯

Consultant at McCabe & Barton Location: London (Hybrid/Remote available) Salary: £45,000 - £70,000 based - on experience The Opportunity A leading Financial Services organisation is seeking exceptional Analytics Data Engineers to join their ambitious Data Transformation initiative. This is a permanent role offering competitive compensation and flexible working arrangements. As an Analytics Data Engineer, you … will be at the forefront of their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to … design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service: Create intuitive data models and provide training to empower business users to explore data independently Own the Data Lifecycle: Take end-to More ❯

Positions Description The Sponsor supports analysts through the provision of large datasets, methodologies, and data visualizations to address pressing intelligence questions. The Sponsor requires support developing and maintaining a cloud-based data environment to transport, store, extract, transform, and load (ETL), and disseminate data solutions. The Sponsor must have an active TS/SCI Full Scope Poly … clearance and needs experienced support in data engineering, cloud architecture, and application development. The work includes engaging regularly with data scientists, analysts, and managers. The Data Engineer will assist with strategic planning and oversee implementation of the Sponsor's cloud-based data environment, to include mapping of data sources and access controls. They will … develop code, data models, and documentation to Sponsor standards; provide systems administration and programming support for ETL processes and data infrastructure efforts; and train and conduct knowledge transfer to team members on issues and technologies related to Sponsor ETL process, on premise high capacity compute cluster, and administrative duties. The Data Engineer will coordinate with external More ❯

The Sponsor supports analysts through the provision of large datasets, methodologies, and data visualizations to address pressing intelligence questions. The Sponsor requires support developing and maintaining a cloud-based data environment to transport, store, extract, transform, and load (ETL), and disseminate data solutions. The Sponsor needs experienced support in data engineering, cloud architecture, and application development. … The work includes engaging regularly with data scientists, analysts, and managers. The Data Engineer will assist with strategic planning and oversee implementation of the Sponsor's cloud-based data environment, to include mapping of data sources and access controls. They will develop code, data models, and documentation to Sponsor standards; provide systems administration and … programming support for ETL processes and data infrastructure efforts; and train and conduct knowledge transfer to team members on issues and technologies related to Sponsor ETL process, on premise high-capacity compute cluster, and administrative duties. The Data Engineer will coordinate with external data and platform providers to ensure the smooth functioning of the Sponsor's More ❯

Job Description Data Engineer – Oil & Gas (Upstream) Outside IR35 Based Hybrid - London or Aberdeen Overview A Data Engineer is sought to support the design, management, and optimisation of a Data Warehouse environment for an organisation operating in the upstream oil and gas sector. The successful candidate will lead data integration from key industry systems … such as SAP, Energy Components, and PI Process Book, ensuring the accuracy and availability of data for operational and commercial decision-making. Success in this role means delivering a high-performing, validated data environment tailored to the complexities of upstream operations. The role supports business-critical analytics and reporting across technical, commercial, and operational teams. Key Responsibilities Data Warehouse Management Own and maintain the organisation’s Data Warehouse as a single source of truth. Monitor and optimise warehouse performance, scalability, and resilience. Develop and implement robust data quality controls, including cleansing and validation processes. Data Quality & Governance Define and enforce governance standards for data consistency, security, and regulatory compliance. Maintain detailed audit trails More ❯

Data Engineer – £70,000 – Hybrid (4x week in London) Role Overview Are you a skilled Data Engineer looking to level up your career in a fast-paced, high-growth environment? This is your opportunity to join a dynamic data and analytics team within a Global Gaming Company where innovation is the norm, and your ideas … can shape real outcomes. You’ll work with modern Azure-based technologies, powering data-driven decisions that impact millions across global markets. This role is perfect for someone who thrives on collaboration, creativity, and continuous learning. You'll be surrounded by passionate professionals and empowered to push boundaries in data engineering, all within a supportive hybrid work model. … Role and Responsibilities As a Data Engineer, you’ll be responsible for: Designing, developing, and maintaining scalable data infrastructure using cutting-edge Azure technologies. Ensuring data quality, performance, and reliability through automated testing, monitoring, and documentation. Collaborating with cross-functional teams to translate business needs into robust data solutions. Driving continuous improvement by staying up More ❯

Data Engineer – £70,000 – Hybrid (4x week in London) Role Overview Are you a skilled Data Engineer looking to level up your career in a fast-paced, high-growth environment? This is your opportunity to join a dynamic data and analytics team within a Global Gaming Company where innovation is the norm, and your ideas … can shape real outcomes. You’ll work with modern Azure-based technologies, powering data-driven decisions that impact millions across global markets. This role is perfect for someone who thrives on collaboration, creativity, and continuous learning. You'll be surrounded by passionate professionals and empowered to push boundaries in data engineering, all within a supportive hybrid work model. … Role and Responsibilities As a Data Engineer, you’ll be responsible for: Designing, developing, and maintaining scalable data infrastructure using cutting-edge Azure technologies. Ensuring data quality, performance, and reliability through automated testing, monitoring, and documentation. Collaborating with cross-functional teams to translate business needs into robust data solutions. Driving continuous improvement by staying up More ❯