1 to 25 of 121 Remote/Hybrid Permanent ETL Jobs

analysis development. Solid SQL skills (data transformation, optimisation, and performance tuning). Proficiency in Python for data engineering and automation tasks. Good understanding of ETL/ELT processes and data modelling. Experience working within Agile delivery teams. Strong analytical skills and meticulous attention to detail. Ability to engage effectively with ...

Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required. Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake). Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform ...

Dimensional Models. Developing & delivering visually compelling Power BI Dashboards & Reports to specification. Delivering data engineering solutions with Microsoft Fabric, SQL and Python. Developing & maintaining ETL pipeline solutions in Azure Data Factory, utilising Azure Data Lake & Azure Dev Ops. Providing second and third line support for Data Team and own allocated ...

data pipelines within Microsoft Fabric (Data Pipelines, Dataflows, OneLake, Lakehouse) Support the migration from SAP BW into a Fabric-based architecture Develop and optimise ETL/ELT processes using Fabric and/or Azure Data Factory Build and maintain scalable data models to support reporting and analytics Contribute ...

data pipelines within Microsoft Fabric (Data Pipelines, Dataflows, OneLake, Lakehouse) Support the migration from SAP BW into a Fabric-based architecture Develop and optimise ETL/ELT processes using Fabric and/or Azure Data Factory Build and maintain scalable data models to support reporting and analytics Contribute ...

and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‐integration technologies. ·Understanding of data modelling concepts. ·Familiarity with legal industry data and metrics. Equal Opportunities Our approach to our people ...

Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power ...

dataset management, governance) Solid understanding of data modelling principles, including star schema design Strong SQL skills with a focus on performance optimisation Experience with ETL/ELT processes and data transformation workflows Knowledge of data warehousing concepts and architectures Understanding of data governance , including quality, security, and compliance Excellent problem ...

Measures and Dimensional Models. Developing & delivering visually compelling Power BI Dashboards & Reports to specification. Delivering data engineeringsolutions with Microsoft Fabric,SQLand Python. Developing & maintaining ETL pipeline solutions in Azure Data Factory, utilising Azure Data Lake &AzureDev Ops. Providingsecondandthird linesupport for Data Team and ownallocatedsupport tickets. Monitoring the Data Warehouse load ...

your field. What You’ll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines What you’ll do Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration ...

guide junior engineers where appropriate Key Requirements As a Data Engineer , you should have: Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time ...

using React and modern JavaScript/TypeScript. Experience designing and building APIs and distributed systems. Solid understanding of data engineering concepts, including data modelling, ETL/ELT pipelines, and performance optimisation. Experience with CI/CD, containerised systems, and modern deployment workflows. Familiarity with working alongside data science teams and ...

using React and modern JavaScript/TypeScript. Experience designing and building APIs and distributed systems. Solid understanding of data engineering concepts, including data modelling, ETL/ELT pipelines, and performance optimisation. Experience with CI/CD, containerised systems, and modern deployment workflows. Familiarity with working alongside data science teams and ...

data quality, performance, and self-service capabilities Your Responsibilities As a Senior Data Engineer , you will: Design and implement data ingestion pipelines using ETL, streaming, scraping, and batch approaches Clean, enrich, and transform datasets for analytical and operational consumption Persist data across databases, warehouses, and data lakes Distribute data internally ...

enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability ...

test progress, risks, and readiness to senior stakeholders. Ensure compliance with audit requirements and drive continuous improvement. Required Skills Strong background in data testing, ETL validation, and data migration. Hands-on expertise with cloud-based data platforms (Azure Data Factory, Databricks, Delta Lake). Advanced SQL skills for complex query ...

helping to design, build, and maintain scalable data pipelines and cloud-based data solutions. Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes. • Develop and optimise data models for analytics and reporting. • Work closely with software engineers, analysts, and stakeholders. • Ensure data quality, reliability, and performance. • Implement ...

like Azure Data Factory and Databricks Workflows. Knowledge of lakehouse architectures , modern data engineering, and data warehousing principles. Understanding of data modelling, ELT/ETL pipelines, and testing frameworks . Familiarity with CI/CD, version control, and DevOps practices. Strong problem-solving, debugging, and technical leadership skills. Awareness ...

cloud platforms Commercial, hands-on experience using Databricks in production Proven capability across: PySpark/Python/SQL Cloud data storage (ADLS or S3) ETL/ELT pipeline development Solid understanding of data architecture, modelling, and governance Experience building scalable, reliable pipelines in enterprise environments Nice to Have Background ...

solutions aligned to their analytical needs Build modern Data Warehouse and Data Lake/Lakehouse solutions (primarily using Microsoft Fabric) Design and develop complex ETL/ELT pipelines Deliver secure, scalable, and high-performing data platforms and infrastructure Implement best practices across data architecture, performance, and security Produce clear technical ...

with a preference for streaming technologies Solid understanding of real-time data processing concepts such as event time, state handling, and backpressure Experience building ETL/ELT or streaming data pipelines Good understanding of distributed systems and microservices architecture Experience working with cloud platforms, ideally AWS (Azure or GCP also ...

business rules, and reporting methodologies to ensure consistency and scalability. Requirements 4+ years of BI or Data Analytics experience. Proficiency in SQL (joins, aggregations, ETL logic, stored procedures). Expertise in Power BI (modeling, DAX, visuals, Power Query). Strong data modelling concepts (facts/dimensions, relationships). Advanced Excel ...

Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, youll help shift the organisation from reactive issue resolution ...

optimising scalable data pipelines and data architecture across a complex business environment. The team is looking for someone who can work across Python, SQL, ETL/ELT processes, Azure-based services and Power BI , while helping to improve data quality, reporting capability and overall accessibility of business-critical data. There ...

experience with Kafka, Flink, or Spark (streaming focus is a strong advantage) Solid understanding of streaming concepts (event time, state, backpressure) Experience building ETL/ELT or real-time data pipelines Familiarity with AWS (or Azure/GCP) Knowledge of distributed systems, microservices, and performance optimisation Experience with CI/ ...