276 to 300 of 401 ETL Jobs in the UK

a minimum requirement of 2 days in the office and the flexibility to work from home the rest of the week. What will you be doing as Data Engineer: ETL Maintenance: Collaborating with the Senior Data Engineer to ensure that the ETL process between source systems and the Data Warehouse remains fully operational, with minimal downtime and blockages. Implementing new … What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Strong SQL skills - Tables, Stored Procedures, performance tuning etc. Experience with Azure ETL tools - Azure data Factory/Synapse Strong experience in Data movement methodologies and standards, ELT & ETL. A self-motivated, enthusiastic problem solver, with the ability to work under pressure and More ❯

develop, and manage scalable data solutions on the Microsoft Azure platform. You’ll play a key role in architecting and implementing robust data integration solutions, as well as building ETL pipelines to support data ingestion, transformation, and loading. The Role:As an Azure data engineer, you’ll collaborate with cross-functional teams in an agile environment — contributing to sprint planning … as you’ll often translate complex data concepts into clear insights for non-technical stakeholders. Key Responsibilities: Architect, design, and implement scalable Azure-based data solutions. Develop and maintain ETL processes for data ingestion, transformation, and loading. Ensure data governance, integrity, and quality throughout the data lifecycle. Implement robust data security, compliance, and privacy standards. Document data architectures, data flows … practices and modern engineering standards. Key Skills & Experience: Proven background as a Data Engineer or Data Architect working with Microsoft Azure. Strong expertise in data modelling, data warehousing, and ETL development. Hands-on experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database. Exposure to big data technologies such as Hadoop, Spark, and Databricks. Experience with Azure Synapse More ❯

EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions Implement and optimise ETL/ELT processes , ensuring data integrity, consistency and quality across multiple sources Apply best practices in data modelling, version control, and CI/CD to deliver maintainable and reusable code … services Strong programming skills in Python (including libraries such as PySpark or Pandas) Solid understanding of data modelling, warehousing and architecture design within cloud environments Experience building and managing ETL/ELT workflows and data pipelines at scale Proficiency with SQL and working knowledge of relational and non-relational databases Experience deploying data infrastructure using IaC tools such as Terraform More ❯

be doing: Leading the end-to-end migration from on-prem to Azure , defining architecture, governance, and delivery best practices. Designing, developing, and optimising data pipelines, integration frameworks, and ETL processes in Azure. Building and maintaining scalable solutions using Azure Data Lake, Synapse, Data Factory, and Databricks . Establishing robust data governance, quality, and lineage frameworks across all environments. Collaborating … Factory, Data Lake, Databricks, Purview . Direct experience migrating from on-premise environments to Azure , ideally within a regulated or financial services context. Deep technical knowledge of data architecture, ETL/ELT, and data modelling . Excellent coding skills in SQL and Python , with experience implementing DevOps for data and CI/CD. Strong leadership and stakeholder engagement - able to More ❯

data lakehouses, and AI/ML models that fuel our data-driven operations. Duties Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and More ❯

Business Central . Key Responsibilities Review and analyse existing JET Reports and data structures. Design and implement automated workflows using Power Automate and Power Query . Build efficient ETL processes and integrate data. Collaborate with internal teams to ensure reporting accuracy and usability. Provide documentation, training, and knowledge transfer. Ensure data integrity and recommend best practices for automation governance. Skills More ❯

Salesforce Marketing Cloud (Email Studio, Journey Builder, Automation Studio, Audience Builder). Strong knowledge of Salesforce Sales Cloud, Service Cloud , and integration patterns. Proficiency in APIs, data flows, and ETL processes . Experience with AMPscript, SQL , and Marketing Cloud scripting languages. Salesforce certifications (e.g., Marketing Cloud Consultant , Application Architect , System Architect ) highly desirable. Excellent communication and stakeholder management skills. Please More ❯

Salesforce Marketing Cloud (Email Studio, Journey Builder, Automation Studio, Audience Builder). Strong knowledge of Salesforce Sales Cloud, Service Cloud , and integration patterns. Proficiency in APIs, data flows, and ETL processes . Experience with AMPscript, SQL , and Marketing Cloud scripting languages. Salesforce certifications (e.g., Marketing Cloud Consultant , Application Architect , System Architect ) highly desirable. Excellent communication and stakeholder management skills. Please More ❯

Lead Engineer with a strong data engineering skills (ETL pipeline creation, data warehousing, data visualization etc) and a solid understanding of Database Architecture & Modelling is sought by a high growth PE backed scale up based in Birmingham. With recent investment driving global expansion this Lead Engineer will play a crucial role in driving innovation across data, product & cloud engineer... More ❯

systems integration as well as object-oriented design patterns and development. - Software engineering skills within the Salesforce Platform (Apex, VisualForce, SOQL). - Experience and knowledge of relational databases and ETL tools. - Experience with Agile development methodologies. - Experience with web services (REST, JSON & XML). - A desire to work within a fast-paced, collaborative and team-based support environment. - Must demonstrate More ❯

Lead Engineer with a strong data engineering skills (ETL pipeline creation, data warehousing, data visualization etc) and a solid understanding of Database Architecture & Modelling is sought by a high growth PE backed scale up based in Birmingham. With recent investment driving global expansion this Lead Engineer will play a crucial role in driving innovation across data, product & cloud engineer click More ❯

experience supporting digital/web/mobile app lications Strong SQL SQL Queries and Azure KQL Queries Linux scripting expertise Experience managing IIS-hosted digital solutions Experience in supporting ETL/ELT solutions like Azure data factory, SSIS package Highly Desirable: BigCommerce website support Redis platform experience Microsoft Dynamics 365 API support and monitoring tools (e.g., SolarWinds, Azure App Insights More ❯

and continuous improvement. Provided secure, scalable, reusable integration capabilities for delivery teams and projects Strong knowledge of enterprise integration patterns and tools (APIs, ESB, messaging queues, event-driven architectures, ETL/ELT). Familiarity with cloud-native, hybrid, and middleware integration solutions (e.g., Azure Integration Services). Understanding of delivery methodologies (waterfall, agile, lean) as they impact integration planning and More ❯

and continuous improvement. Provided secure, scalable, reusable integration capabilities for delivery teams and projects Strong knowledge of enterprise integration patterns and tools (APIs, ESB, messaging queues, event-driven architectures, ETL/ELT). Familiarity with cloud-native, hybrid, and middleware integration solutions (e.g., Azure Integration Services). Understanding of delivery methodologies (waterfall, agile, lean) as they impact integration planning and More ❯

and other relevant standards. Evaluate, select, and implement data governance tools (e.g. data catalogues, data quality tools). Lead the deployment of modern data platform technologies including Data Warehouses, ETL services, and cloud-based solutions. Promote a data-driven culture through organization-wide training and awareness initiatives. Develop and deliver role-specific training for data owners, custodians, and other key … and physical data modelling, as well as expertise in data warehousing, data lake architecture, and Master Data Management (MDM). The role also demands proficiency in data integration and ETL processes, including the design and orchestration of data pipelines and the use of ETL/ELT tools. Candidates should be experienced with a range of database technologies, particularly cloud-based More ❯

Strong expertise with MSSQL Server (schema design, tuning, indexing, profiling) Advanced SQL and dimensional data modelling (SCDs, fact/dim, conformed dimensions) Experience with PostgreSQL optimisation. Advanced Python skills ETL/ELT Pipelines: Hands-on experience building pipelines using SSIS, dbt, Airflow, or similar Strong understanding of enterprise ETL frameworks, lineage, and data quality Cloud & Infrastructure: Experience designing and supporting … build, and maintain OLAP, Tabular, and Multidimensional models used across the business Develop semantic models and robust data structures for Power BI and Excel cube connectivity Create and optimise ETL/ELT pipelines integrating data from S3 and diverse source systems Administer and tune MSSQL Server and PostgreSQL for high performance and reliability Ensure model scalability, accuracy, consistency, and rapid More ❯

role in designing, building, and scaling robust data platforms that support analytics, reporting, and advanced insight across the organisation. Key Responsibilities of the Role: Design, build, and maintain reliable ETL processes and end-to-end data pipelines. Develop and manage data warehousing solutions to support analytics and reporting needs. Work with both structured and unstructured data, ensuring high-quality data … Work both independently and collaboratively, demonstrating proactive problem-solving and critical thinking. Key Experience Needed: 5+ years of experience in Data Engineering or a similar role. Proven experience building ETL pipelines and large-scale data systems. Strong understanding of data warehousing, modelling, and transformation. Experience with cloud platforms (AWS preferred). Exposure to Snowflake, or willingness to learn. Familiarity with More ❯

deliver high-quality solutions in a fast-paced environment. Key Responsibilities Design and implement scalable data pipelines using Azure Data Factory , Databricks , and Synapse Analytics . Develop and optimise ETL processes for structured and semi-structured data. Work with SQL and Python for data transformation and modelling. Integrate data from multiple sources, ensuring accuracy, consistency, and performance. Collaborate with stakeholders … in enterprise environments. Strong hands-on expertise with Azure Data Factory , Databricks , Synapse , and Azure Data Lake . Proficiency in SQL , Python , and PySpark . Experience with data modelling , ETL optimisation , and cloud migration projects . Familiarity with Agile delivery and CI/CD pipelines. Excellent communication skills for working with technical and non-technical teams. Interested? Apply now or More ❯

deliver high-quality solutions in a fast-paced environment. Key Responsibilities Design and implement scalable data pipelines using Azure Data Factory , Databricks , and Synapse Analytics . Develop and optimise ETL processes for structured and semi-structured data. Work with SQL and Python for data transformation and modelling. Integrate data from multiple sources, ensuring accuracy, consistency, and performance. Collaborate with stakeholders … in enterprise environments. Strong hands-on expertise with Azure Data Factory , Databricks , Synapse , and Azure Data Lake . Proficiency in SQL , Python , and PySpark . Experience with data modelling , ETL optimisation , and cloud migration projects . Familiarity with Agile delivery and CI/CD pipelines. Excellent communication skills for working with technical and non-technical teams. Interested? Apply now or More ❯

ll Deliver End-to-end data solutions covering acquisition, engineering, modelling, analysis, and visualisation. Client workshops and communication at both technical and business levels. Design and implementation of robust ETL/ELT solutions using the Microsoft/Azure ecosystem (Fabric/Databricks). Development of data lakehouse architectures using a medallion design approach. Scalable engineering solutions that meet current and … Ability to build strong, collaborative relationships with teams and clients. Practical experience in data engineering or data warehousing with Azure/Microsoft or SQL Server technologies. Skills in developing ETL/ELT pipelines using Azure Synapse, Data Factory, Databricks, or Fabric, with SQL and Python. Strong understanding of data lake and lakehouse architectures. Experience working with large, complex datasets from More ❯

ll Deliver End-to-end data solutions covering acquisition, engineering, modelling, analysis, and visualisation. Client workshops and communication at both technical and business levels. Design and implementation of robust ETL/ELT solutions using the Microsoft/Azure ecosystem (Fabric/Databricks). Development of data lakehouse architectures using a medallion design approach. Scalable engineering solutions that meet current and … Ability to build strong, collaborative relationships with teams and clients. Practical experience in data engineering or data warehousing with Azure/Microsoft or SQL Server technologies. Skills in developing ETL/ELT pipelines using Azure Synapse, Data Factory, Databricks, or Fabric, with SQL and Python. Strong understanding of data lake and lakehouse architectures. Experience working with large, complex datasets from More ❯

using industry level best practices.Reporting to the Platform and Engineering Manager, the candidate will be required to design and manage data warehousing solutions, including the development of data models, ETL processes and data integration pipelines for efficient data consolidation, storage and retrieval, providing technical guidance and upskilling for the team, and conducting monitoring and optimisation activities. If you’re a … winning employer, apply to join #TeamAldi today! Your New Role: Project Management of demands and initiatives Lead the design and implementation of data warehousing Design and develop data models, ETL processes and data integration pipelines Complete Data Engineering end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You More ❯

the metrics, responsible for architecting the robust data pipelines that fuel our clients' growth and performance. We stay curious by constantly exploring new technologies like BigQuery and cutting-edge ETL tools, and we get stuck in by collaborating closely with our strategy, development, and marketing teams to turn raw data into transparent, high-impact insights. If you love the challenge … One Trust or Cookiebot. Build compelling dashboards and reports in tools like Looker Studio, Power BI, or Tableau, delivering key insights on web traffic and performance. Build and maintain ETL/ELT pipelines (e.g., acquisition BigQuery Looker Studio) to ensure reliable data flow for reporting. Manage data warehousing , including defining and optimising data schemas and staging tables for efficiency and … experience managing cookie consent platforms (e.g., One Trust, Cookiebot). Strong expertise in SQL —it's essential for working with and optimising data warehouses Proven experience building and maintaining ETL/ELT pipelines , whether custom or using tools like dbt, Fivetran, or Airbyte. Experience with BigQuery or other major cloud-based data warehouses. An adaptable, organised, and detail-oriented mindset More ❯

Contract Data Analyst (BigQuery) – Inside IR35 Location: Manchester - 2 days a week in the office Contract: 3 months (Inside IR35) Day Rate: Competitive (Inside IR35) Start Date: ASAP About the Role I'm seeking an experienced Data Analyst with deep More ❯

transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national More ❯