176 to 200 of 555 ETL Jobs in England

Ability to write Spark code for large-scale data processing, including RDDs, DataFrames, and Spark SQL. Hands-on experience with lakehouses, dataflows, pipelines, and semantic models. Ability to build ETL workflows. Familiarity with time-series data, market feeds, transactional records, and risk metrics. Familiarity with Git, DevOps pipelines, and automated deployment. Strong communication skills with a collaborative mindset to work More ❯

Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem-solving skills. What's on More ❯

/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. Proficient in SQL, data integration (flat files, APIs, databases), ETL logic interpretation. Understanding of functional and visual parity considerations between BI tools. Strong analytical, debugging, communication skills to interface with stakeholders and migration engineers. The Role Act as the technical More ❯

methodologies (Kimball, dimensional modelling, Data Vault 2.0) Experience in Azure – one or more of the following: Data Factory, Databricks, Synapse Analytics, ADLS Gen2 Experience in building robust and performant ETL processes Build and maintain Analysis Services databases and cubes (both multidimensional and tabular) Experience in using source control & ADO Understanding and experience of deployment pipelines Excellent analytical and problem-solving More ❯

management controls. Experience & Technical Skills Proven hands-on experience as a Data Engineer or in a similar data-centric role. Strong proficiency in SQL and Python. Solid understanding of ETL/ELT pipelines, data modelling, and data warehousing principles. Experience working with cloud platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or More ❯

Skills & Experience Strong experience in data architecture, ideally in customer-centric domains such as CRM, CDP, or marketing analytics. Strong knowledge of cloud platforms (Azure, GCP), data warehousing, and ETL tools. Proficiency in SQL, Python, and data modelling techniques. Experience with customer data platforms (e.g., Salesforce CDP, Redpoint), MDM, and real-time data processing. Understanding of data privacy, consent management More ❯

Master Data Governance in multi-site production & distribution organisation Experience with BI tools and reporting systems (Power BI, DAX, SQL, Advanced Excel) advantageous Experience in building or working with ETL tools is a must Excellent communication skills and ability to work across departments, locations and countries. Proactive, detail-oriented, and technically minded with a problem-solving mindset. We provide: High More ❯

manage competing priorities effectively. Confident decision-maker with strong problem-solving and communication skills. Adaptable and proactive in a fast-paced, global environment. Desirable Technical understanding of data engineering, ETL, or cloud data architecture. Experience working within a legal, regulated or enterprise environment. Exposure to large data platform migrations or modernisation programmes Diversity, Equity and Inclusion To attract the best More ❯

manage competing priorities effectively. Confident decision-maker with strong problem-solving and communication skills. Adaptable and proactive in a fast-paced, global environment. Desirable Technical understanding of data engineering, ETL, or cloud data architecture. Experience working within a legal, regulated or enterprise environment. Exposure to large data platform migrations or modernisation programmes Diversity, Equity and Inclusion To attract the best More ❯

manage competing priorities effectively. Confident decision-maker with strong problem-solving and communication skills. Adaptable and proactive in a fast-paced, global environment. Desirable Technical understanding of data engineering, ETL, or cloud data architecture. Experience working within a legal, regulated or enterprise environment. Exposure to large data platform migrations or modernisation programmes #LI-JC1 Diversity, Equity and Inclusion To attract More ❯

Impact Design, develop, and deploy end-to-end data pipelines for complex business problems, supporting analytics, modernising data infrastructure and AI/ML initiatives. Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sources Collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions that unlock business value. Ensure … Databricks, Azure Data Factory, Snowflake, or similar Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data quality frameworks, data governance, and compliance requirements. Familiarity with version control (Git), CI/CD pipelines, and workflow orchestration tools (Airflow More ❯

Impact Design, develop, and deploy end-to-end data pipelines for complex business problems, supporting analytics, modernising data infrastructure and AI/ML initiatives. Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sources Collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions that unlock business value. Ensure … Databricks, Azure Data Factory, Snowflake, or similar Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data quality frameworks, data governance, and compliance requirements. Familiarity with version control (Git), CI/CD pipelines, and workflow orchestration tools (Airflow More ❯

automating data ingestion, transformation, and loading using Python. Build reproducible workflows and apply software engineering best practices, including CI/CD and version control. Design, implement and optimise business Extract, Transform and Load (ETL) pipelines. Collaborate on data modelling, storage and integration to support both geospatial and data science teams. Communicate effectively with technical and non-technical audiences through presentations … advanced knowledge of GIS software or work experience and qualifications reflecting a similar level of expertise. Experience with ESRI stack, particularly ArcGIS Pro, ArcGIS Online and Enterprise. Experience with ETL technologies like FME and ESRI Pipelines/Data Interoperability. Strong programming skills in Python (including ArcPy and data science libraries), with additional experience in .NET, Java or modern JavaScript libraries. … Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms and libraries Experience building and scheduling ETL workflows. Knowledge of spatial data management and geospatial queries. Experience with containerised application development (e.g. Docker). Experience in a consultancy environment, with the ability to embed within multidisciplinary More ❯

automating data ingestion, transformation, and loading using Python. Build reproducible workflows and apply software engineering best practices, including CI/CD and version control. Design, implement and optimise business Extract, Transform and Load (ETL) pipelines. Collaborate on data modelling, storage and integration to support both geospatial and data science teams. Communicate effectively with technical and non-technical audiences through presentations … advanced knowledge of GIS software or work experience and qualifications reflecting a similar level of expertise. Experience with ESRI stack, particularly ArcGIS Pro, ArcGIS Online and Enterprise. Experience with ETL technologies like FME and ESRI Pipelines/Data Interoperability. Strong programming skills in Python (including ArcPy and data science libraries), with additional experience in .NET, Java or modern JavaScript libraries. … Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms and libraries Experience building and scheduling ETL workflows. Knowledge of spatial data management and geospatial queries. Experience with containerised application development (e.g. Docker). Experience in a consultancy environment, with the ability to embed within multidisciplinary More ❯

Practitioner . Experience working in cloud environments (GCP, AWS, or Azure). Previous exposure to data engineering, AI , or machine-learning teams . Familiarity with data and analytics technologies (ETL tools, data warehouses, dashboards). TO BE CONSIDERED... Please either apply online or email me directly at .By applying for this role, you are giving express consent for us to More ❯

AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What More ❯

AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What More ❯

AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What More ❯

experience, and data quality - helping to drive data-led decision-making across the organisation. What You'll Bring:* Advanced Qlik expertise (scripting, set analysis, data modelling) * Strong SQL and ETL skills with solid data warehousing knowledge * Proven experience leading BI and data visualisation projects * Ability to translate business needs into analytical solutions * Experience in insurance or financial services (preferred) Key More ❯

experience with Snowflake Production experience with dbt (mandatory) Strong SQL and Python programming skills Experience with Git-based workflows and DevOps practices Familiarity with orchestration tools (Airflow, Prefect) and ETL/ELT patterns Knowledge of cloud platforms (AWS, Azure) and security best practices More ❯

experience with Snowflake Production experience with dbt (mandatory) Strong SQL and Python programming skills Experience with Git-based workflows and DevOps practices Familiarity with orchestration tools (Airflow, Prefect) and ETL/ELT patterns Knowledge of cloud platforms (AWS, Azure) and security best practices More ❯

one's for you. What You'll Do Build and optimise data pipelines , databases and cloud data platforms. Develop AZure Data Factory/Fabric Data Factory pipelines and robust ETL/ELT processes. Work with SQL, APIs, event streams and diverse data formats. Contribute to solutions across data warehouses, lakes, lakehouses and semantic models . Ensure best practice around data More ❯

quality data outputs.* Manage MS SQL and Azure SQL databases efficiently while ensuring optimal performance across all environments.* Utilising Azure Data Factory, Python, and other tools to build efficient ETL processes.* Delivering clean, insightful data outputs through Power BI dashboards and reports.* Ensuring strong governance, data integrity, and security across all platforms.* Collaborate closely with cross-functional teams, delivering projects More ❯

quality standards, and security protocols across the data estate. What We're Looking For Proven leadership in data engineering and analytics, ideally within Azure and Databricks ecosystems. Expertise in ETL orchestration, Azure Data Factory, and medallion architecture. Strong experience with Power BI, DAX, and KPI-driven dashboarding. Ability to translate complex technical concepts into clear business value. Background in construction More ❯

quality standards, and security protocols across the data estate. What We're Looking For Proven leadership in data engineering and analytics, ideally within Azure and Databricks ecosystems. Expertise in ETL orchestration, Azure Data Factory, and medallion architecture. Strong experience with Power BI, DAX, and KPI-driven dashboarding. Ability to translate complex technical concepts into clear business value. Background in construction More ❯