1 to 25 of 115 Remote/Hybrid ETL Jobs in England

guidance and support to junior engineers within the team Design, develop, and test robust data pipelines for ingestion, processing, and transformation Implement and maintain ETL/ELT workflows feeding data warehouses, data lakes, or lakehouse platforms Leverage open-source and AWS-native tools to deliver scalable data solutions Apply DevOps ...

and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL/data integration tool experience API integration experience Python scripting/automation knowledge Experience working with complex or regulated datasets Understanding of data governance frameworks ...

roadmap, ensuring alignment with cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated ...

transition from legacy platforms where applicable Data Engineering & Integration Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third‐party systems Defining data quality, validation, and monitoring standards Governance, Security ...

and clients. At mid‐level, we expect you to have a good grasp of core concepts of Data Engineering (data structures, databases, data manipulation, ETL, data quality), enabling you to write pipelines of moderate complexity in a consistent style. The technology we use varies between clients, so although we value ...

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 ...

complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event‐driven architectures. API‐led integration and data virtualisation. Understanding of data security‐by‐design, privacy, compliance and governance ...

data platforms (Azure SQL, AWS RDS, Snowflake, BigQuery). Write and optimise complex SQL, including stored procedures, functions, views and performance‐tuned queries. Develop ETL/ELT logic using SQL‐based approaches and frameworks. Contact Centre data expertise Work with ACD, IVR and routing datasets. Define and validate Contact Centre ...

Databricks and Spark Strong understanding of data modelling (3NF, dimensional modelling, star/snowflake schemas, data vault concepts) Experience designing and operating ELT/ETL pipelines Familiarity with data quality frameworks, SLA monitoring and lineage tracking Experience with Snowflake and dbt Proficiency with AWS Experience with version control, CI/ ...

Data Engineer should have: Strong experience designing and building scalable data platforms in Azure. Deep expertise in Azure Data Factory, SQL, and Python for ETL/ELT pipelines Proven ability to lead, mentor, and develop data engineering teams Hands-on experience with data warehousing, modelling, and performance tuning Solid understanding ...

environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering) Experience working with large-scale structured and unstructured datasets Knowledge of AI ethics, bias mitigation, and model governance Comfortable working in Agile ...

Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into ...

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 ...

maintainable, and efficient code and tests, 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. Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. Develop and fine‐tune complex ...

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, you’ll help shift the organisation from reactive issue resolution ...

application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data ...

Skills & Experience Proven experience in a data-focused role Strong background in data warehousing and dimensional modelling Understanding of database management systems, OLAP and ETL frameworks Experience with cloud data platforms (ideally Microsoft Fabric) Familiarity with Power BI or similar BI tools Ability to optimise and troubleshoot query performance Strong ...

exposing data.* Proven track record with data governance, quality, lineage, and security practices.* Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub).* Experience in, or knowledge of, DevSecOps Tooling and Processes.* Self-starter with the ability ...

and develop scalable BI solutions, data models, dashboards, and reporting frameworks that turn complex data into clear business insights. Key responsibilities include: Building automated ETL/ELT pipelines and data models Creating dashboards and reports for senior leaders and business users Improving data quality, documentation, and governance Optimising SQL queries ...

with Snowflake, MS SQLServer , DBT , and Azure DevOps (or similar CI/CD). Data Expertise: Solid understanding of data modeling, curation, orchestration, and ETL tools (e.g., Matillion, SNP Glue, Fivetran). Engineering Best Practices: Experience with shell scripting, unit testing, and test-driven development (TDD). Soft Skills: Excellent ...

Engineering function, shaping architectural direction, ensuring engineering excellence, and partnering with Technology, Architecture, and Business teams across the organisation. Tech Stack SQL Oracle Python ETL Background: The bank is migrating from an on-premise Oracle estate to a modern data platform built on cloud and Databricks. This role leads ...

Experience coordinating UAT and strong analytical capability Nice to Have: Basic knowledge of data engineering principles, with prior exposure to data engineering teams (e.g. ETL fundamentals) This is an urgent requirement – please reach out to Adam Akhtar at Opus as soon as possible for further information. ...

through training and self-service analytics What we’re looking for Strong experience with Azure, Microsoft Fabric, and Power BI Expertise in data modelling, ETL/ELT pipelines, and DAX Solid understanding of data warehousing, cloud architecture, and analytics Experience with ERP/SAP data (desirable) Ability to translate complex ...

role in designing and building scalable, governed, and high-performing data solutions across the full data engineering lifecycle. Key Responsibilities • Design and develop scalable ETL/ELT pipelines using Databricks, Python, SQL, and Spark • Build and optimise Delta Lake architectures and data pipelines on AWS • Implement ingestion frameworks using Databricks ...

collaboration and innovation, they invest heavily in their data platform and analytical capability. The Role Design, build, and maintain scalable data models and automated ETL or ELT pipelines within a cloud data warehouse environment. Lead the development of executive-level dashboards and self-serve reporting solutions that balance clarity with ...