1 to 25 of 63 ETL Jobs in Manchester

Lakes, Blob Containers). Experience with data transformation and modelling techniques. Thorough understanding and experience with data warehousing concepts and dimensional modelling. Experience with ETL and orchestration tooling (Data Factory, Databricks). Experience with data governance and cataloguing using Databricks Unity Catalog (access control, lineage, discoverability). Experience with Azure ...

Microsoft Azure, Snowflake, hybrid on-premise and cloud architecture Databases-Microsoft SQL Server, MongoDB, SQLite, relational and non‐relational database design Engineering-SQL, Python, ETL/ELT, APIs, data modelling, data warehousing, testing and observability Orchestration-Azure Data Factory, Prefect, Airflow or comparable workflow platforms Business intelligence-Power BI, SSRS ...

and our communities in more than 40 countries around the world. What you’ll do in the role: Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes. Work with structured and unstructured data to ensure it is accessible and usable. Optimize data systems for performance and scalability. Implement ...

and their integration within enterprise analytics platforms. Strong proficiency in Azure Data Factory, Synapse, and cloud data services. Expert‐level skills in data modelling, ETL processes, and semantic layer design. Advanced programming capabilities in SQL (T‐SQL/Spark SQL), Python, and PySpark. Hands‐on experience with Power BI (Desktop ...

platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content preparation (SharePoint, file shares, Teams) for retrieval-augmented AI. Data governance, quality and security – Microsoft Purview, cataloguing ...

and transform diverse data types into standardized, unified schemas Good understanding of serverless, code-driven data transformation pipelines as well as traditional batch-oriented ETL systems. Technologies While mastery of everything is not required, we are seeking Engineers who possess hands‐on experience with one or more of the following ...

validation and reconciliation. Communicating analytical findings clearly to a range of audiences. Nice to have Experience with Databricks, Salesforce reporting, Python, Azure/AWS, ETL technologies or data modelling would be highly beneficial. Why this role? This is a great opportunity for a hands-on Data Analyst to join ...

Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews Big Data Engineering Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow Optimise data storage, retrieval, and processing systems to ensure reliability, scalability, and performance Develop and fine‐tune complex ...

unit testing Understanding of CI/CD pipelines to maintain code quality and facilitate deployments Knowledge of Data Engineering fundamentals, including Batch processing and ETL/ELT Basic understanding of various data architectures, such as Lakes and Warehouses Knowledge of data cleansing and transformation within unified, standardised schemas Basic ...

Ability to leverage CI/CD pipelines to maintain code quality and facilitate deployments Knowledge of Data Engineering fundamentals, including Batch/Streaming and ETL/ELT Familiarity with various data architectures such as Lakes and Warehouses Hands-on experience with data cleansing and transformation within unified, standardised schemas Technologies ...

skills, with practical experience using Python for data engineering, dataprocessingor automation. Proven experience designing and building data pipelines, with a strong understanding of modern ETL/ELT practices. Experience working with modern cloud data platforms and orchestration technologies. Experience within the Microsoft data ecosystem would beadvantageous. Experience of data modelling ...

strong client partnerships. What will you do? Client Delivery & Technical Excellence Design, build, and implement scalable data engineering solutions on AWS, including data pipelines, ETL/ELT processes, and data integration frameworks. Develop andoptimizedata architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, Amazon OpenSearch Service, and ...

considerations Familiarity with Lakehouse Federation in Azure Databricks — federating queries across external data sources without full ingestion Experience with Azure Data Factory or equivalent ETL/ELT tooling for enterprise source ingestion pipelines Experience with Power BI data modelling and DirectQuery/Import mode considerations for Databricks SQL Warehouse connectivity ...

such as dbt, Airflow or Spark. Experience with cloud data warehouses, such as Snowflake, BigQuery or Amazon Redshift. A solid understanding of data modelling, ETL/ELT and data quality. Knowledge of data governance, security and privacy. Confidence taking ownership and making practical technical decisions in an early-stage environment. ...

service level agreements Experience coordinating cross‐functional stakeholders and contractor resources to maintain operational continuity and quality output Knowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred) Strong analytical and problem‐solving skills with the ability to communicate clearly ...

and Python development skills. Experience managing and developing SQL data warehouses. Strong experience with Microsoft SQL Server, SSIS and SSRS. Experience building production‐grade ETL and data pipelines. Experience working with financial data and supporting reporting or planning functions. Excellent communication skills with the ability to work closely with both ...

and Python skills, with practical experience using both for data engineering and transformation. Significant experience designing, build and supporting production data pipelines using modern ETL/ELT practices. Experience working with modern cloud data platforms and orchestration technologies. Experience within the Microsoft data ecosystem would be advantageous. Experience with modern ...

and build scalable data pipelines, govern data quality, and deliver analytics-ready solutions. You will work across data lake and data warehouse environments, applying ETL best practices and CI/CD within an agile, hybrid setup that supports collaboration across Haywards Heath, Salford Quays, and Guernsey. You’ll use PySpark ...

Skills We Can't Do Without Extensive experience as a SAS Subject Matter Expert , including SAS architecture, administration, and analytics platforms. Strong understanding of ETL processes, data integration, and data flow architecture . Proven experience leading data migration, reconciliation, and validation activities . Experience supporting cloud migration or re-platforming ...

Cleansing & Enrichment Design conceptual, logical, and physical data models using best practices. Perform data cleansing and standardization to resolve quality issues. Gain exposure to ETL tools to ensure data interoperability across datasets. Collaborate with data professionals to refine modeling and integration practices. Data Visualization Create visually appealing representations tailored ...

Observation or remote sensing data. Exposure to AI, Machine Learning or GeoAI applied to spatial data. Experience with raster processing, vector tiling or spatial ETL workflows. Experience working with Geographic Foundation Models (GeoFMs), large geospatial AI models or multimodal spatial machine learning would be advantageous. Experience working within consultancy environments ...

structured data. Source and integrate data from operational databases, applications and third-party platforms. Develop integrations with REST APIs and other external data services. Extract, process and transform semi-structured data formats such as JSON and XML. Monitor ingestion processes and implement controls to ensure data reliability and completeness. Work …/CD principles and automated deployment processes. Knowledge of data quality, testing and monitoring methodologies. Professional Experience Experience working as a Data Engineer, ETL Developer or similar role. Experience delivering data solutions within a cloud environment. Ability to work independently and manage priorities effectively. Strong analytical and problem-solving skills. ...

across APIs, files, events and operational stores; establish robust orchestration, monitoring, alerting, data-quality checks and incident response. Use AI and automation to accelerate ETL/ELT development, data mapping, documentation, testing, report generation, monitoring and data-quality management. Design high-quality Power BI semantic models, DAX measures and reusable … leadership, finance, commercial, product, marketing, payments and support reporting. Support CRM and operational data integrations, including outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns and monitoring. Create reliable ingestion and modelling patterns for acquired businesses, so future integrations are repeatable, auditable and faster to execute. Set data-engineering ...

Oracle eBusiness Suite background with recent cloud experience (e.g, SQL/PLSQL/Java/OAF/BI/Forms/Reports.* Data Migration, ETL, knowledge. A strong candidate will have experience in data migration from Oracle eBusiness Suite to Oracle Fusion Cloud and experience using Oracle Data Integrator ...

Expertise: 1-3 years of experience in Data Governance, MDM, or lifecycle management. Concepts: Strong understanding of Data Warehouse vs. Data Lake architectures and ETL workflows. Communication: Ability to translate technical data issues into actionable business insights for senior stakeholders. Randstad Technologies is acting as an Employment Business in relation ...