1 to 25 of 39 Remote/Hybrid ETL Jobs in London

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 ...

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 ...

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. ...

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 ...

ready, and transition smoothly to BAU operations. Required Skills & Qualifications: Proficiency in Python, Scala, and SQL. Extensive experience in data modelling and ELT/ETL processes. Strong experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, and Composer. Familiarity with CI/CD & DevOps practices, including automated testing ...

mentor junior colleagues to grow our collective capability. Your skills and experience Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle ...

including data lakes and warehouses. Support the ongoing migration and modernisation of legacy/on-premise data infrastructure into Azure cloud services. Develop robust ETL/ELT pipelines and API integrations across multiple internal and external data sources. Automation & Intelligent Workflows Support automation initiatives aimed at improving operational efficiency and … and technology functions. Required Skills & Experience Technical Skills Strong experience with Python and SQL for Data Engineering and automation. Experience building and maintaining scalable ETL/ELT pipelines. Strong understanding of relational and non-relational databases. Experience with Azure data technologies such as Data Factory, Synapse, or Fabric. Familiarity with ...

developing Java-based applications in a microservices architecture. Solid experience building and maintaining backend services and APIs. Experience contributing to data engineering pipelines, including ETL/ELT workflows, batch processing, and scheduled data builds. Strong understanding of data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend ...

cloud-based data platform as the business continues to expand significantly. Role The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes within a modern cloud data environment. Develop and optimise data solutions using Snowflake to support analytics, reporting, and business intelligence requirements. Collaborate … Experience within the fashion, sportswear, retail, ecommerce, or consumer goods sector would be highly advantageous. Strong SQL development and database optimisation skills. Experience building ETL/ELT pipelines using tools such as dbt, Fivetran, Matillion, Azure Data Factory, or Airflow. Experience working with Azure. Familiarity with Python or Scala ...

architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average ...

document functional specs and User Stories within the BFS/Capital Markets domain. Data Mapping: Define Source-to-Target Mappings (STM) and logic for ETL pipelines and Data Warehouses. Data Validation: Use advanced SQL to perform root-cause analysis, data profiling, and reconciliation to ensure high data quality. Stakeholder Management ...

data infrastructure in a production environment and are comfortable designing for scale. Strong SQL and experience with modern data tooling (e.g. orchestration, warehousing, ETL/ELT) are expected. Beyond that, the key differentiator is mindset. They are looking for someone who: Thinks beyond implementation and understands the commercial impact ...

toward a Fabric-first environment. Youll work across: Microsoft Fabric including Lakehouse, Warehouse and OneLake Azure Data Lake and Synapse environments Data pipelines and ETL/ELT processes SQL and analytics datasets Power BI reporting and data models AI and machine learning-enabled insights API integrations and connected data services … role in shaping a modern data platform. Experience around some of the following would be useful: Azure Data Engineering environments SQL and data modelling ETL/ELT pipeline design Azure Synapse Azure Data Lake Microsoft Fabric Power BI Azure DevOps API integrations Exposure to AI, ML or Copilot-enabled initiatives ...

Architecture , alongside exposure to Snowflake Cortex/Cortex AI capabilities. Key Responsibilities Design and build scalable solutions within Snowflake. Develop and optimise ELT/ETL pipelines and cloud data architectures. Drive best practice around performance, governance, security, and cost optimisation. Support AI-driven use cases using Snowflake Cortex capabilities, particularly ...

Streams Identity Resolution Segmentation & Activations Unified Data Model Transformations & Insights Experience delivering end-to-end Salesforce Data Cloud implementations Strong integration experience (REST APIs, ETL, third-party platforms) Solid SQL and data architecture knowledge Experience integrating with platforms such as Snowflake, Databricks, AWS, BigQuery, or Tableau Salesforce Data Cloud Consultant ...

deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ETL/ELT pipelines and data processes. Improving and adapting our data infrastructure and code base as we scale – including collaboration, security, scalability, efficiency, automation and ...

these within a backlog and map business processes that underpin them/li li Deep understanding of a modern data stack (preferably BigQuery, Looker, ETL/ELT pipelines). You should be comfortable discussing data schemas and lineage/li li Experience in a fast paced Retail or Wholesale environment ...

JSON, CSV, EDI, Excel Excellent stakeholder engagement and communication skills Ability to work in a collaborative, delivery-focused environment Nice to Have Experience with ETL or integration tools (e.g. DataStage, Palantir) Familiarity with mapping documentation techniques (Excel mappings, UML, BPMN) Knowledge of XSLT or XML transformation tools Exposure ...