101 to 125 of 380 ETL Jobs in the UK

and develop team members, oversee data engineering projects, and own the agency's core data pipelines and platforms. Key Responsibilities Data Engineering & Architecture : Lead development of robust data pipelines, ETL processes, and warehouse architecture (GCP/Azure) Team Leadership : Manage and mentor data engineers/analysts, fostering technical excellence and collaborative environments Client Collaboration : Partner with client services to design More ❯

Manage and manipulate large, complex data sets from multiple sources. Develop and maintain dashboards to support data quality improvements. Support reporting and analytics delivery through corporate intranet tools. Perform ETL (Extract, Transform, Load) processes on various data sources. Collaborate with Applications team to ensure accurate information delivery. Provide 1st line application/reporting support to internal users. Key Skills & Experience More ❯

Manage and manipulate large, complex data sets from multiple sources. Develop and maintain dashboards to support data quality improvements. Support reporting and analytics delivery through corporate intranet tools. Perform ETL (Extract, Transform, Load) processes on various data sources. Collaborate with Applications team to ensure accurate information delivery. Provide 1st line application/reporting support to internal users. Key Skills & Experience More ❯

Manage and manipulate large, complex data sets from multiple sources. Develop and maintain dashboards to support data quality improvements. Support reporting and analytics delivery through corporate intranet tools. Perform ETL (Extract, Transform, Load) processes on various data sources. Collaborate with Applications team to ensure accurate information delivery. Provide 1st line application/reporting support to internal users. Key Skills & Experience More ❯

performance tuning and optimization of data processes. Skills required: Proven experience as a Data Architect working within Azure. Expertise in Azure Databricks and Azure Synapse. Strong understanding of Datamodelling, ETL processes, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages. Experience with data governance, data quality, and data security best practices. Excellent problem-solving skills and More ❯

performance tuning and optimization of data processes. Skills required: Proven experience as a Data Architect working within Azure. Expertise in Azure Databricks and Azure Synapse. Strong understanding of Datamodelling, ETL processes, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages. Experience with data governance, data quality, and data security best practices. Excellent problem-solving skills and More ❯

a Fabric Data/BI Engineer to help create and drive analytics solutions. BI/Data Engineer, key skills: Microsoft Fabric experience Proven data engineering experience - setting up complex ETL processes with ADF pipelines Data visualisation and reporting using PowerBI Data modelling experience - conceptual, logical and physical Proficient in SQL Extensive experience with Microsoft cloud stack Data Engineer, BI Engineer More ❯

in our London office) What We're Looking For: Strong experience with Azure Data Services (Data Factory, Synapse, etc.) Hands-on expertise with Databricks and Python Solid understanding of ETL processes and data modelling Excellent problem-solving and communication skills Benefits: Work on high-impact projects with top-tier clients Competitive salary of £65,000 plus benefits Hybrid flexibility and More ❯

in our London office) What We're Looking For: Strong experience with Azure Data Services (Data Factory, Synapse, etc.) Hands-on expertise with Databricks and Python Solid understanding of ETL processes and data modelling Excellent problem-solving and communication skills Benefits: Work on high-impact projects with top-tier clients Competitive salary of £65,000 plus benefits Hybrid flexibility and More ❯

analytics and reduce reliance on ad hoc queries YOUR SKILLS AND EXPERIENCE: A successful Power BI Developer will have the following: Power BI experience (end-to-end dashboard development) ETL experience DAX experience Excellent communication skills for stakeholder engagement and requirements gathering THE BENEFITS: You will receive a salary of up to £50,000, depending on experience. On top of More ❯

experience in a cloud environment (AWS, Azure, or GCP). Strong understanding of ML libraries such as scikit-learn, TensorFlow, or MLflow. Solid background in data modelling, ELT/ETL processes, and analytics best practices. If youre ready to make an impact in a growing tech company and bring your MLOps expertise to the table GET IN TOUCH today! Bright More ❯

opportunities A company recognised as one of the UK's best places to work What you'll be doing Designing and optimising Azure-based data models and pipelines Leading ETL processes and integrating new data sources Enhancing SSAS architecture and supporting Power BI reporting Collaborating with stakeholders to deliver actionable insights Mentoring junior engineers and driving best practices What we More ❯

experience in a cloud environment (AWS, Azure, or GCP). • Strong understanding of ML libraries such as scikit-learn, TensorFlow, or MLflow. • Solid background in data modelling, ELT/ETL processes, and analytics best practices. If you’re ready to make an impact in a growing tech company and bring your MLOps expertise to the table — GET IN TOUCH today More ❯

This role is 'remote first' and falls OUTSIDE IR35. Key Responsibilities Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines using DBT, SQL, Python, and ETL frameworks. Data Modelling: Develop and maintain logical and physical data models to support reporting and analysis needs, implementing best practices for data warehouse design. Data Transformation: Convert raw data from More ❯

days per week on-site), contributing to key data initiatives that support risk and analytics functions across the business. Key Responsibilities: Design, build, and optimise scalable data pipelines and ETL solutions. Work with complex datasets to enable data-driven insights and reporting. Collaborate closely with data scientists, analysts, and business stakeholders to deliver robust data solutions. Support the migration and More ❯

and Performant SQL. Experience analysing complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of ETL Experience of data warehousing and data lake solutions. Good experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and More ❯

reporting strategies. Work with Product Owners, Developers, Designers, DevOps, and business stakeholders. Develop and maintain MI/BI reports and dashboards (ideally in QuickSight). Build, test, and optimise ETL/ELT processes using AWS Glue, Python, and SQL. Analyse complex reporting requirements and deliver scalable solutions. Review and validate report accuracy and data integrity. Recommend improvements to reporting processes More ❯

datasets from varied sources. About You You will have extensive hands-on experience in data engineering and data architecture as well as strong skills in SQL, Python, data modelling, ETL/ELT design, and orchestration. You will have a proven background with Azure storage, compute, security and Microsoft Fabric components such as Dataflows, Lakehouse, Pipelines or Synapse and familiarity with More ❯

finance and cashflow reporting- Own projects end-to-end with minimal supervision TECH STACK - Cloud: Google BigQuery (GCP)- Data Transformation: DBT- BI Tools: Omni, Metabase, Looker Studio- Analytics: Amplitude- ETL: Fivetran- Version Control: Git WHAT YOU NEED Essential: 4+ years in Data/Analytics Engineering or BIStrong SQL skills (production-level)DBT experience (essential)Cloud data warehouse experience (BigQuery, Snowflake More ❯

4HANA , SAP Datasphere, SAP MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing More ❯

4HANA , SAP Datasphere, SAP MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing More ❯

clear, actionable insights for internal teams and external stakeholders. Support the insight team with data analysis and handle queries from industry stakeholders. What we're looking for: Experience building ETL pipelines, preferably with Python. Strong SQL skills. Experience with PostgreSQL and BigQuery preferred. Experience with cloud platforms, ideally Google Cloud. Hands-on experience with Infrastructure-as-Code like Terraform. Solid More ❯

experience building hybrid automation solutions combining multiple technologies. Data Engineering & Pipeline Development - Strong skills in building data pipelines for AI/automation solutions including data extraction, transformation, and loading (ETL). Experience with SQL databases (SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying More ❯

experience (ideally 5 years+) working in a data or Architecture domain across a range of different technologies (including business intelligence, data warehousing, data management and data delivery, database and ETL technologies ) Expertise in data concepts and tools, such as Big Data, ML Ops and Kafka. Confident communicator - able to present complex technical issues in a clear manner to technical and More ❯

experience (ideally 5 years+) working in a data or Architecture domain across a range of different technologies (including business intelligence, data warehousing, data management and data delivery, database and ETL technologies ) Expertise in data concepts and tools, such as Big Data, ML Ops and Kafka. Confident communicator - able to present complex technical issues in a clear manner to technical and More ❯