251 to 275 of 1,587 ETL Jobs in the UK

Python, Spark and SQL for data processing and transformation Experience with Databricks in a production or near-production environment Practical experience building and maintaining ETL/ELT pipelines in a cloud environment Working knowledge of data modelling concepts including star schema and dimensional modelling Please see full job description attached. ...

including pivot tables, charts, and complex formulas Experience with SQL for querying and manipulating large datasets Knowledge of data integration tools (e.g., Power Automate, ETL processes) Strong communication skills, with the ability to present complex data clearly to non-technical audiences A proactive, curious approach to problem-solving and ...

Skills And Competencies 3+ years of experience within a data engineering or software development team Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and ...

Skills and Competencies 1+ years of experience within a data engineering or software development team Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and ...

similar technologies. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer ETL/Data Warehouse Engineer Whatever your experience, we can help you progress from where you left off, whether at mid, senior or lead consultant level. ...

record leading data engineering delivery within a Microsoft-first environment - Azure Data Factory, Databricks, Synapse, Azure Data Lake Hands-on experience building and managing ETL/ELT pipelines, data lakes and data warehouses in a cloud environment Proficient in Python and SQL, familiarity with Scala or R advantageous Experience with ...

engineering. Strong hands-on capability with SQL and Python. Experience with Snowflake or another modern cloud data platform. Experience designing and developing ELT and ETL pipelines in production. A good understanding of analytical and dimensional data modelling. Experience with dbt or comparable modern transformation tooling. Familiarity with Git, CI/ ...

QualificationsTechnical Expectations: Proficient in Python, with experience in automation and building data pipelines. Strong expertise in working with tools like DBT and Airflow for ETL processes. Skilled in using REST APIs to develop and manage data integrations. Proficient in SQL and familiar with data visualization tools such as Looker, Superset ...

What You’ll Do You will contribute across the full analytics lifecycle, with increasing ownership as you develop: Design data workflows spanning data collection, ETL, analysis, visualisation, and delivery across structured and semi-structured datasets Apply advanced analytical techniques to identify patterns of fraud, corruption, misconduct, and financial crime Implement ...

experience of metadata analysis, fields/entity, and data lineage, sql/no sql databases Experience with one of Azure/AWS/GCP ETL tools like Informatica, Alteryx and Business Glossary tools like Collibra, Azure Purview or Apache Atlas. TDD/BDD, Experience working in an Agile development environment ...

capabilities. Desirable AWS Tools & Technologies experience: Amazon SageMaker - ML development, training, deployment & MLOps Amazon S3 - Scalable data storage & data lakes AWS Glue - Data integration, ETL & preparation Amazon Redshift & Athena - Data warehousing & serverless analytics Amazon EMR - Big data processing & Spark Amazon Bedrock - Generative AI & foundation models AWS Lambda - Serverless data ...

and bringing clarity to ambiguous or complex problems Skills & Experience Essential Strong experience designing, building and operating scalable production data pipelines Strong understanding of ETL and ELT architectures and patterns Strong programming and data transformation skills, particularly using technologies such as Python, Spark and SQL Experience working with cloud-based ...

delivering modern data solutions using Microsoft Fabric, including OneLake, Dataflows, Notebooks, and Power BI. Strong understanding of data architecture, data modelling, data warehousing, and ETL/ELT methodologies. Experience engaging directly with customers in a consultancy or client-facing environment. Ability to translate business requirements into technical solutions. Experience managing ...

Data Engineer, you'll bring: Substantial hands-on data engineering experience across integration, data modelling and data warehousing, with excellent SQL skills. Experience with ETL/ELT tools (e.g. Talend, Azure Data Factory, dbt) and database platforms (e.g. MS SQL Server, Snowflake, Azure SQL Database), including developing integration solutions using ...

currently seeking a Data Engineer to build, maintain, and optimise robust data pipelines. This role develops efficient ETL/ELT workflows using both Microsoft Fabric tools and the Databricks Lakehouse Platform to deliver clean, production-ready data for enterprise analytics. Job Requirements Strong proficiency in PySpark, Databricks ...

excellent communication skills across all channels and levels of recipients including team members, colleagues, clients at all levels including C suite. Experienced hands-on ETL, Snowflake, CI/CD Pipelines, SQL, Data Quality rules and Data-Readiness design and implementation of data platforms. Experience in designing and implementing relational data ...

monolithic SQL Server database: extracting into the lakehouse and parallel data stores, introducing retention policies, and migrating to modern SQL frameworks Write and optimise ETL processes and contribute to data modelling for both internal analytics and external-facing data products Take work from ambiguous problem statements through design, build and ...

many of these points and are excited about the role, we encourage you to apply: Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and a variety of database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and an open-minded approach to tech ...

data policies. Technical & Business Skills: Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). Deep expertise in data integration patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master ...

similar automation platforms. BI/Semantic Platforms: Experience with Looker, Thoughtspot, or similar. Industry Context: Experience in Payments, FinTech, Banking, or Cryptocurrency. Reverse ETL: Familiarity with moving data from the warehouse back into SaaS tools. So, what’s in it for you? Our people are constantly striving ...

such as R or Python) Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding ...

Copilot and Claude to accelerate analysis and automation. Industrial expertise: A background in energy, industrial manufacturing, or utility sectors. Technical architecture: Experience building ETL pipelines, workflow automation (Power Automate, Alteryx), or broader data engineering tasks. Systems knowledge: Proficiency with major ERP platforms such as SAP or Oracle. Process improvement: Exposure ...

Skills Advanced Expertise in BI tools (e.g., Domo, Sigma, Looker). Cloud Expertise: Strong proficiency in cloud data platforms (Snowflake). Expertise in SQL, ETL/ELT pipelines, data warehousing. Architectural Knowledge: Proficiency in designing for performance, scalability, and security. Software Development Knowledge: Understanding of SDLC, Agile methodologies, and DevOps ...

Cloud Platform (GCP), or Microsoft Azure. Knowledge of specific industry verticals (e.g., Life Sciences, Healthcare, Financial Services, CPG/Retail) Experience with data modeling, ETL processes, or API integrations. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry ...

Financial Services & Insurance experience. Domain & Technical Expertise Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without ...