51 to 75 of 652 ETL Jobs in England

discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize data storage and retrieval systems More ❯

BI reporting. * Conveying technical concepts to non-technical stakeholders across the business. Senior Data Engineer - What will you need? * Extensive Data Warehouse Experience. * Proficiency in Azure: Azure Data Factory (ETL), Azure SQL Server, Azure DevOps, Key Vaults and Logic Apps. * Strong Data Modeling Skills. * Familiarity with CI/CD pipelines and agile workflows. * Experience integrating data from diverse sources, ensuring … data accuracy and consistency throughout the ETL process. * Ambition to reduce processing times and improving efficiency. Robert Walters are proud to specialise in BI & Data recruitment across the UK, offering amazing opportunities on a permanent and interim basis. We are also proud to be heading up the Data Leaders roundtables and PBI BRUM meetup group, bringing new and exciting networking More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects … an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring data quality, and maintaining compliance with regulatory standards. focusing on designing, developing, and maintaining data pipelines … ETL processes, and databases. If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you.Key Responsibilities:Design, develop, maintain, and optimise data pipelines, ETL processes, and databases.Drive continuous improvement by refining processes, products, and identifying new tools, standards, and practices.Collaborate with teams across the business to define solutions, requirements, and testing More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects … an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring data quality, and maintaining compliance with regulatory standards. focusing on designing, developing, and maintaining data pipelines … ETL processes, and databases. If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you. Key Responsibilities: Design, develop, maintain, and optimise data pipelines, ETL processes, and databases. Drive continuous improvement by refining processes, products, and identifying new tools, standards, and practices. Collaborate with teams across the business to define solutions More ❯

BI Solution Architecture, Replication Warehouse, and secure data sets using the Microsoft application stack. Create and maintain secure data sets for systems, enabling Key users to produce reports. Perform ETL integrations and support tasks using Azure Data Factory (ADF) and other technologies. Coach and mentor junior BI professionals. Test and modify new data sets and reports to ensure reliability and … stack and technologies such as ADF, Logic Apps, Data Lake, Data Bricks, Power Query, etc. Experience in low code MS related technologies, SharePoint, Nintex, Power Apps, Power Bi, etc. ETL related experience using SSIS, ADF, or similar products for complex integrations. Role experience as a DBA or in DBA related activities. Relevant further qualification in a business analytics related field. More ❯

BI Solution Architecture, Replication Warehouse, and secure data sets using the Microsoft application stack. Create and maintain secure data sets for systems, enabling Key users to produce reports. Perform ETL integrations and support tasks using Azure Data Factory (ADF) and other technologies. Coach and mentor junior BI professionals. Test and modify new data sets and reports to ensure reliability and … stack and technologies such as ADF, Logic Apps, Data Lake, Data Bricks, Power Query, etc. Experience in low code MS related technologies, SharePoint, Nintex, Power Apps, Power Bi, etc. ETL related experience using SSIS, ADF, or similar products for complex integrations. Role experience as a DBA or in DBA related activities. Relevant further qualification in a business analytics related field. More ❯

Gaming, and TransferGo. Our products are recognised by industry leaders like Gartner's Magic Quadrant, Forrester Wave and Frost Radar. Our tech stack: Superset and similar data visualisation tools. ETL tools: Airflow, DBT, Airbyte, Flink, etc. Data warehousing and storage solutions: ClickHouse, Trino, S3. AWS Cloud, Kubernetes, Helm. Relevant programming languages for data engineering tasks: SQL, Python, Java, etc. What … you will be doing: Designing and developing scalable and efficient data pipelines, ETL processes, and data integration solutions to support data ingestion, processing, and storage needs. Ensuring data quality and reliability by implementing data validation, data cleansing, and data quality monitoring processes. Optimising database performance by tuning queries, implementing indexing strategies, and monitoring and analysing system performance metrics. Collaborating with … stakeholders to define data strategies, implement data governance policies, and ensure data security and compliance. About you: Strong technical proficiency in data engineering technologies, such as Apache Airflow, ClickHouse, ETL tools, and SQL databases. Deep understanding of data modeling, ETL processes, data integration, and data warehousing concepts. Proficiency in programming languages commonly used in data engineering, such as Python, Java More ❯

deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter expert on Azure data tools and best practices. Develop and maintain ETL processes using SQL, SSIS, and Azure Data Factory. Integrate data from diverse sources including internal databases, APIs, and third-party providers. Monitor and tune performance of data components, ensuring data … to support transparency and maintainability. Required Skills & Experience Bachelor’s degree in Computer Science, Information Systems, or a related technical field. 3+ years of experience in data engineering and ETL development. Advanced proficiency in T-SQL, SSIS, and Azure Data Factory. Strong experience with data modelling, performance tuning, and troubleshooting. Proven ability to lead and manage a small technical team. More ❯

deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter expert on Azure data tools and best practices. Develop and maintain ETL processes using SQL, SSIS, and Azure Data Factory. Integrate data from diverse sources including internal databases, APIs, and third-party providers. Monitor and tune performance of data components, ensuring data … to support transparency and maintainability. Required Skills & Experience Bachelor's degree in Computer Science, Information Systems, or a related technical field. 3+ years of experience in data engineering and ETL development. Advanced proficiency in T-SQL, SSIS, and Azure Data Factory. Strong experience with data modelling, performance tuning, and troubleshooting. Proven ability to lead and manage a small technical team. More ❯

platform. Strong Data Warehouse experience, hands-on experience with designing, building, and managing DW ideally using Kimball methodology. Hands on with Azure tooling, expertise in Azure Data Factory ADF (ETL processes), Azure SQL Server, Azure DevOps, Key Vaults, and Logic Apps. Experience in optimizing data loads to ensure reliability, scalability, and high performance, with a focus on reducing processing times … a solid understanding of advanced data technologies and practices. Hands on with Integration such as integrating data from a range of sources, ensuring data accuracy and consistency throughout the ETL process. The ability to work closely with the wider business, stakeholders, and other teams to align data solutions with business objectives. Familiarity with CI/CD pipelines and agile workflows. More ❯

visualisations and narratives. Support change management, adoption, and user training. Technical Skills (Required/Desirable): Azure Data Factory, Synapse, Databricks, Microsoft Fabric. Data warehouse & lakehouse architecture. Strong SQL, Python, ETL/ELT knowledge. Power BI and data visualisation tools. Agile delivery experience. You’ll Have: 5+ years in Microsoft data technologies. Strong consulting and stakeholder management experience. Excellent documentation and More ❯

QUALIFICATIONS - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process … data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your More ❯

years of SQL programming experience, including relational schema design and query optimization 2+ years using Python or similar scripting languages for data science Experience with data processes and building ETL pipelines Experience with cloud data warehouses such as Snowflake, Azure Data Warehouse, Amazon Redshift, or Google BigQuery Proficiency in creating visualizations using Power BI or Tableau Experience designing ETL/ More ❯

e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools More ❯

in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g. More ❯

following product/solution development lifecycles using frameworks/methodologies such as Agile, SAFe, DevOps and use of associated tooling (e.g., version control, task tracking). ·Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. ·Experience in other programming languages for data manipulation (e.g., Python, Scala). ·Extensive experience of data engineering and the More ❯

workshops, and shape pre-sales proposals (40–50% of the role) Advise senior client stakeholders (CDOs, CIOs, Heads of Data) on data strategy, governance, and platform modernisation Design robust ETL/ELT frameworks with Azure Data Factory , SSIS , Informatica , or IBM DataStage Lead data modelling using ERwin , ER/Studio , or PowerDesigner Implement data governance and quality frameworks using Unity More ❯

workshops, and shape pre-sales proposals (40–50% of the role) Advise senior client stakeholders (CDOs, CIOs, Heads of Data) on data strategy, governance, and platform modernisation Design robust ETL/ELT frameworks with Azure Data Factory , SSIS , Informatica , or IBM DataStage Lead data modelling using ERwin , ER/Studio , or PowerDesigner Implement data governance and quality frameworks using Unity More ❯

Scala. Experience with AWS RDS, AWS Glue, AWS Kinesis, AWS S3, Redis and/or Azure SQL Database, Azure Data Lake Storage , Azure Data Factory. Knowledge of data modelling , ETL processes, and data warehousing principles. Preferred Skills Strong problem-solving and analytical skills . Experience with cloud databases, cloud data services, messaging/data streaming & big data technologies. Familiarity with More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

to RfP response. Ability to be a SPOC for all technical discussions across industry groups. Excellent design experience, with entrepreneurship skills to own and lead solutions for clients Excellent ETL skills, Data Modeling Skills Excellent communication skills Ability to define the monitoring, alerting, deployment strategies for various services. Experience providing solution for resiliency, fail over, monitoring etc. Good to have More ❯