226 to 250 of 336 ETL Jobs in England

integration between systems and empower data-driven insight through platforms like Snowflake , Azure Data Factory , and Power BI . Key Responsibilities Build and maintain ETL/ELT pipelines using Azure Data Factory and Matillion ETL Manage data ingestion, transformation, and storage in Snowflake Develop API integrations to connect multiple business … Support self-service analytics through Power BI and QlikSense Implement best practices for data modelling, governance, and optimisation What You'll Bring Experience with ETL/ELT development and SQL/Python scripting Hands-on knowledge of Snowflake and cloud data platforms (Azure, AWS, or GCP) Understanding of data modelling

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 … 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

enhance GIS applications using modern frameworks and mapping technologies. Build web-mapping tools, dashboards and geospatial interfaces for operational and strategic use. Create automated ETL workflows and spatial data integrations between key council systems. Design, optimise and maintain spatial databases with a focus on availability, performance and data quality. Spatial … Experience developing web-mapping applications (ArcGIS API, Leaflet, OpenLayers, Mapbox etc.) Solid understanding of geoprocessing, coordinate systems, topology and data automation. Experience with ETL pipelines (FME, ArcGIS ModelBuilder, Python GDAL/OGR, Geopandas). Able to break down complex requirements and deliver practical, well-engineered solutions. Confident communicator capable

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 … 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.

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/… 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

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 … . 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

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

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

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

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

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

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

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

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 … 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

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 … 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

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 … 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

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 … 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.

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 … 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.

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 … 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

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 … 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

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. … #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

Contract Data Analyst (BigQuery) – Inside IR35 Location: Manchester - 2 days a week in the office Contract: 3 months (Inside IR35

strategy, and approach. Collaborate with functional consultants and business stakeholders to capture data mapping requirements (including transformation rules). Develop, configure, execute, and optimise Extract-Transform-Load scripts . Support migration planning activities. Familiarity with Informatica or Pentaho would be advantageous. Execute migrations, carry out validation checks, and prepare status

Cloud specialist. Delivered two successful end-to-end Salesforce Data Cloud implementations. Strong expertise in designing scalable enterprise-level data architecture solutions. Experienced in ETL tools, data migration, and data cleansing practices. Proficient in writing and optimizing moderate to advanced SQL queries. Preferably a Salesforce Data Cloud Consultant certification holder.

required Deep knowledge of PostgreSQL, Snowflake and Greenplum Snowflake internals, schemas, modelling, data lakes and integration patterns Data ingestion using Informatica, Talend and similar ETL tooling Strong experience handling JSON, XML, CSV and multi-source datasets Patroni expertise for HADR and streaming replication Backup, recovery, tuning and optimisation across Postgres