1 to 25 of 84 Remote ETL Jobs in the South East

expert in cloud data engineering, providing technical guidance and mentorship to the team. * Drive the design, development, and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g., AWS Glue, AWS Lambda, AWS S3, AWS Redshift, AWS EMR). * Develop and maintain data quality checks More ❯

interactive Power BI dashboards, reports, and data visualizations that meet the needs of stakeholders across various departments. • Data Management & SQL Querying: Utilize SQL to extract, transform, and load (ETL) data from various sources into Power BI. Write complex SQL queries to analyze large datasets and ensure data integrity and accuracy. More ❯

your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize More ❯

ll be expected to lead by example across TDD practices, paired programming, CI/CD integration, and infrastructure automation. Key responsibilities: Develop and deploy ETL pipelines for data cleansing using Azure-based tooling. Build and maintain outbound/inbound API endpoints for downstream systems (e.g. reporting tools, finance systems). More ❯

large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization More ❯

Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of data modeling, ETL frameworks, and big data technologies Experience working in financial services or regulated industries is a plus What’s on Offer A collaborative and inclusive work More ❯

in Databricks, PySpark, Knowledge Graphs, Neo4J (Graph database and analytics), Power BI, SSRS, Azure Data Factory, and AI technologies. Strong understanding of data architecture, ETL processes, and data governance. Leadership Skills: Demonstrated ability to lead and inspire teams, manage complex projects, and drive organisational change. Analytical Skills: Strong analytical and More ❯

ideally within financial services or commodities trading . Proven experience with Azure , Databricks , and enterprise data lake solutions. Hands-on experience with data modelling , ETL/ELT pipelines , and data integration across multiple systems. Familiarity with tools like Kafka , Spark , and modern API-based architectures . Experience with relational databases More ❯

SQL and experience with reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS . Experience designing and building regulatory reporting systems —financial services background highly desirable. Familiarity with Agile Scrum delivery and More ❯

SQL and experience with reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS . Experience designing and building regulatory reporting systems —financial services background highly desirable. Familiarity with Agile Scrum delivery and More ❯

Spark, SQL, and Python. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Understanding of modern data architectures (e.g., Lakehouse, ELT/ETL pipelines). Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. More ❯

Strong hands-on experience with AWS Proficient in Python and/or Scala for data pipeline development Solid understanding of data warehousing concepts and ETL best practices Desirable Experience: Exposure to Power BI for data visualisation and dashboarding Experience within the energy trading sector, particularly the power market , is a More ❯

facing delivery role (preferred). Proven experience in designing data architecture and models (Dimensional, ODS, Data Vault). Strong understanding of data warehouse concepts, ETL processes, and cloud-native architectures. Proficient in Agile methodologies (Scrum), with experience using tools like Azure DevOps or JIRA. Familiarity with CI/CD practices More ❯

business-related discipline 2+ years' experience with Power BI, DAX, Power Query 2+ years' experience with Power Automate or Logic Apps Strong data modelling, ETL/ELT, and SQL/database experience Familiarity with the software development lifecycle Excellent Excel and Microsoft Office skills Strong analytical, written, and interpersonal communication More ❯

Your Responsibilities: Build data infrastructure: Design, develop, and maintain scalable and reliable data pipelines, warehouses, and lakes. Develop ETL/ELT workflows: Extract, transform, and load data from various systems to enable unified, high-quality datasets. Collaborate across teams: Work closely with brokers, technicians, and other stakeholders to understand data … Engineer). Strong experience with SQL, Python, and relational/NoSQL databases (e.g., MongoDB). Familiarity with cloud platforms (preferably Azure). Experience with ETL/ELT frameworks and tools such as dbt. Proficiency in data orchestration tools like Dagster or similar. Understanding of data modelling, warehousing, and architecture best More ❯

Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of More ❯

Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of More ❯

Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of More ❯

Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of More ❯

reliable data systems and optimising data workflows. Accountabilities: Design, develop, and maintain scalable and secure data pipelines Implement best practices for data integration and ETL/ELT Collaborate with data analysts and scientists to meet their data needs Optimise the performance and reliability of data systems Lead technical projects related More ❯

Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client are seeking a talented Data Engineer to help … energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming More ❯

This role is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth. You will be responsible for designing, building, and optimising Azure Data … opportunity to make a real impact in a small, skilled team, helping shape the firm’s data strategy and capabilities. Technical Skills Data Integration & ETL Azure Data Factory (ADF): Expert in setting up, configuring, and maintaining Azure Data Factory pipelines for efficient ETL processes, with a strong focus on data … reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced knowledge More ❯

optimisation. Your expertise: Experience building serverless functions in AWS and/or Azure. Experience writing TypeScript and Python. Experience with cloud data warehouses and ETL processes. Experience writing SQL and/or SQLX. Understanding of observability practices including logging, monitoring, and alerting. Interest in AI/ML technologies and their More ❯

Scala, Python, SQL and Ideally experience with Delta Lake or Databricks workflows, jobs, etc. Familiarity with Azure Data Lake: experience with data ingestion and ETL/ELT frameworks Data Governance experience – Metadata, Data Quality, Lineage, Data Access Models Good understanding of Data Modelling concepts, Data Products and Data Domains Unity More ❯

engineers and drive best practices across modern data platforms. ✅ Hands-on with Azure Data Factory, Synapse, and Fabric ✅ Strong SQL & Python skills ✅ Experience across ETL/ELT, data lakes, modelling, and governance ✅ Exposure to Spark, Kafka, or Snowflake a plus ✅ Agile/DevOps mindset and experience with Git, APIs, microservices More ❯