1 to 25 of 255 Permanent ETL Jobs in England

essential Strong programming skills in Python and SQL; knowledge of Java or Scala is a plus Solid experience with relational databases and data modelling (Data Vault, Dimensional) Proficiency with ETL tools and cloud platforms (AWS, Azure or GCP) Experience working in Agile and DevOps environments Knowledge of AI/ML applications in data workflows is desirable Familiarity with visualisation tools More ❯

work as part of a collaborative team to solve problems and assist other colleagues. - Ability to learn new technologies, programs and procedures. Technical Essentials: - Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation More ❯

seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI More ❯

and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of financial services Power BI experience More ❯

and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of financial services Power BI experience More ❯

and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Agile experience (ideally Kanban) Strong interpersonal and teamwork skills Desirable Extras: Knowledge of 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 ❯

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 ❯

markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in cloud platforms (preferably Azure) and services such as Data Lake, Synapse, Event Hubs, and Functions. More ❯

Experience with Tableau, Alteryx, Tableau Prep. Hands-on experience with SAP SuccessFactors, SAP Analytics Cloud (SAC). Knowledge of data visualisation best practices and dashboard design principles. Experience with ETL processes and data transformation workflows. Understanding of HR data structures, key metrics, and reporting requirements. Experience supporting HR system migrations or implementations. Experience supporting technology implementations or large-scale transformation More ❯

data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data More ❯

data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data 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 ❯

data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data More ❯

analytics and reporting. You'll work with diverse datasets and collaborate with cross-functional teams to ensure data is accurate, accessible, and actionable. Key Responsibilities Build and maintain scalable ETL/ELT pipelines. Design data models and schemas to support analytics and reporting. Integrate data from APIs, internal systems, and streaming sources. Monitor and ensure data quality and availability. Collaborate More ❯

analytics and reporting. You'll work with diverse datasets and collaborate with cross-functional teams to ensure data is accurate, accessible, and actionable. Key Responsibilities Build and maintain scalable ETL/ELT pipelines. Design data models and schemas to support analytics and reporting. Integrate data from APIs, internal systems, and streaming sources. Monitor and ensure data quality and availability. Collaborate More ❯

skills, Experience in risk management (Market, Credit, Regulatory). Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and More ❯

focus on Snowflake and Power BI. Strong expertise in data modelling, query optimisation, and Power BI development (DAX, dashboards). Hands-on with dbt, SQL, Python, and ELT/ETL pipeline development. Experience with Azure Data Factory (ADF), and migrating legacy data platforms to cloud solutions. Financial services exposure, ideally with market or credit risk analytics. Ability to produce technical More ❯

building and guiding high-performing engineering teams • Strong hands-on expertise in cloud platforms (GCP, AWS, or Azure) with emphasis on cloud-native architectures • Deep understanding of data engineering - ETL/ELT, real-time/batch processing, data lakes/warehouses, and data governance • Track record of delivering complex, scalable systems that drive measurable business impact • Strong software engineering foundation More ❯

technology domains including CMS, CRM, Martech platforms, data pipelines, analytics, and cloud services. Exposure to CDPs (e.g., Bloomreach, Segment, BlueConic, Tealium) and data integration pipelines. Understanding of data modelling, ETL processes, and basic analytics or BI tools like Power BI or Tableau. Experience in the sports, entertainment, or fan engagement domain is a strong plus. What can we offer you More ❯

Technical Requirements of the Successful Candidate: Proven experience delivering data solutions using Microsoft Fabric, including OneLake, Dataflows, Notebooks, and Power BI.? Strong understanding of data architecture, data modeling, and ETL/ELT processes.? Experience with Azure Data Services (e.g., Synapse, Data Factory, Databricks) is a plus.? Demonstrates an understanding of enterprise BI and Data Warehousing tools, concepts and methods? Experience More ❯

Data Engineer (Talend/Snowflake)Goole – Hybrid (1-2 days in the office)PermanentCompetitive salary Elevation IT are looking for a skilled Data Engineer with proven expertise in ETL, data warehousing, and modern cloud platforms. In this role, you’ll design and optimise data pipelines that power decision-making across the business. You’ll work hands-on with Talend, Snowflake … SQL, and Python to build scalable solutions, ensure data quality and enable seamless integration across systems. Duties & Responsibilities: Extract, transform, and load (ETL) data from diverse sources, including ERP and cloud-based systems Automate processes using scripting and integration tool Ensure data quality, integrity, and consistency throughout projects Collaborate with business users, IT teams, and project stakeholders to understand data … structures and requirements Provide technical leadership and mentoring to fellow data engineers Troubleshoot data issues and optimize pipeline performance Document ETL processes and develop best practices for scalability and reuse Key Skills & Experience Proven experience in data engineering projects and data warehousing Strong expertise with Talend and Snowflake Solid knowledge of ETL tools and data transformation techniques (JSON, XML) Proficiency More ❯

scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. More ❯

scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. More ❯