26 to 50 of 540 ETL Jobs in England

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯

This role has a direct opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and More ❯

This role has a direct opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and More ❯

DevOps, and GitHub. Data Modelling Apply hands-on expertise in enterprise data modelling using tools such as ERwin, ER/Studio, or PowerDesigner to ensure performance, scalability, and maintainability. ETL/ELT Frameworks Design robust data pipelines using tools like Cloud Composer, Dataflow, Dataproc, Informatica, or IBM DataStage, supporting both batch and streaming ingestion. Data Governance & Quality Implement governance frameworks More ❯

data architecture and software development. Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance. Mandatory Skills: Strong expertise in Data Architecture, including data modeling, ETL processes, and database design. Proficiency in programming languages such as Java, C#, or Python. Experience with relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra). Solid More ❯

data architecture and software development. Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance. Mandatory Skills: Strong expertise in Data Architecture, including data modeling, ETL processes, and database design. Proficiency in programming languages such as Java, C#, or Python. Experience with relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra). Solid More ❯

data architecture and software development. Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance. Mandatory Skills: Strong expertise in Data Architecture, including data modeling, ETL processes, and database design. Proficiency in programming languages such as Java, C#, or Python. Experience with relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra). Solid More ❯

implement errorhandling strategies. • Optional scripting skills for creating custom NiFi processors. Programming & Data Technologies: • Proficiency in Java and SQL. • Experience with C# and Scala is a plus. • Experience with ETL tools and big data platforms. • Knowledge of data modeling, replication, and query optimization. • Hands-on experience with SQL and NoSQL databases is desirable. • Familiarity with data warehousing solutions (e.g., Snowflake More ❯

implement errorhandling strategies. • Optional scripting skills for creating custom NiFi processors. Programming & Data Technologies: • Proficiency in Java and SQL. • Experience with C# and Scala is a plus. • Experience with ETL tools and big data platforms. • Knowledge of data modeling, replication, and query optimization. • Hands-on experience with SQL and NoSQL databases is desirable. • Familiarity with data warehousing solutions (e.g., Snowflake More ❯

into the reporting layer, enabling analysts and stakeholders to uncover insight. Location: London Contract: 6 Months (OIR35) Rate: £325-400 p/day Key Responsibilities: Designing and maintaining scalable ETL/ELT pipelines . Integrating data from multiple sources into a centralised warehouse (SQL Server, PostgreSQL, or Snowflake). Working with Azure Data Factory and cloud-native tooling for data More ❯

You'll Be Doing Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and More ❯

You'll Be Doing Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and More ❯

You'll Be Doing Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and More ❯

You'll Be Doing Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and More ❯

You'll Be Doing Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and More ❯

suited to someone who's confident communicating with data, product, and engineering teams, not a 'heads-down coder' type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing More ❯

management position. Financial services experience is essential , ideally covering lending, servicing, or securitisation data. Deep technical expertise in Microsoft and Azure data technologies. Strong knowledge of data modelling (Kimball) , ETL/ELT , and hybrid cloud architectures . Proven ability to drive quality, governance, and best practices within engineering teams. Excellent communication, stakeholder management, and leadership skills. If you're interested More ❯

in a fast-paced, agile environment and enjoys creating high-quality data solutions that empower decision-making across the organisation. Key Responsibilities Design, build, and maintain data pipelines and ETL processes to deliver analytics and reporting. Develop and optimise Power BI dashboards and semantic data models for business stakeholders. Integrate data from multiple sources, including Salesforce, SAP, and internal systems More ❯

scalable data pipelines and infrastructure in AWS. Strong expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages such as Python, Java, and SQL. Strong knowledge of data warehousing, data lakes, and data lakehouse More ❯

in most of the below areas... Around 2-3 years experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python Experience designing and developing ETL/ELT processes using the Azure platform – Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

end-to-end data solutions, including acquisition, engineering, modelling, analysis, and visualisation. Lead client workshops to gather requirements and communicate effectively across technical and business stakeholders. Design and implement ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, or Databricks - experience with at least one of these platforms is essential. Build scalable data lake solutions using medallion architecture principles. Migrate More ❯

as required Key Skills: T-SQL and SQL Server (2016 or later preferred). Python for scripting, data processing, and automation. Experience of SQL Database Administrator. Experience of SSIS ETL concepts and data warehouse design principles. Experience of Microsoft SSRS and PowerBI (or similar Reporting Technology). Understanding of Datawarehouse Principles. Excellent problem-solving skills and attention to detail. Strong More ❯

WFHDuration: 3 months rolling contractType of contract : Freelance, Inside IR35Level: mid-Senior Duties and Tasks: Develop and optimize data pipelines using Databricks and Spark.Design and implement data models and ETL processes in Snowflake.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.Ensure data quality, integrity, and security across platforms.Monitor and troubleshoot data workflows and performance issues. Requirements: Proven More ❯

Databricks Engineer London- hybrid- 3 days per week on-site 6 Months + UMBRELLA only- Inside IR35 Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Airflow for orchestration and scheduling. Build and manage data transformation workflows in DBT running on Databricks . Optimize data models in Delta Lake for performance, scalability, and cost efficiency. Collaborate with analytics More ❯

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯