1 to 25 of 40 Permanent ETL Jobs in Central London

Understanding of Direct Lake semantic modelling design considerations (model creation, table choices, and enforcing access rules). Proven experience with ingestion and transformation patterns (ETL/ELT concepts), data modelling, and delivering analytics-ready datasets. Ability to implement approaches that improve delivery reliability: data quality checks, monitoring, and operational feedback ...

deliver robust data solutions that support operational and strategic objectives. This role requires active Security Check (SC) clearance Key Responsibilities Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data sources. Build scalable data ingestion and transformation frameworks using cloud-native and on-premise technologies. Develop and ...

platforms, platform architecture, and analytics within large, complex organisations. Strong hands‐on expertise across: Modern data stack & DataOps (Snowflake, Databricks). Platform architecture & engineering (ETL/ELT, modelling, warehousing). Cloud platforms (AWS, Azure, GCP). Programming (SQL essential, Python, Spark, Java/Scala). Data governance & security (including GDPR ...

large-scale data transformation, migration, or analytics programmes. Technical Literacy: Strong understanding of modern data stacks (e.g., Cloud data platforms like Databricks/Azure, ETL/ELT pipelines, BI tools). Ability to read/interpret data models and SQL queries to drive product decisions. Methodology:Extensive experience working ...

technical direction, and gain exposure to cutting-edge cloud and data technologies. What You’ll Be Doing Designing and building scalable data pipelines and ETL solutions Working with structured and unstructured datasets across cloud environments Developing robust data engineering solutions using Python and SQL Supporting data migration, transformation, and integration ...

Azure Data Lake Drive data quality, governance, and performance Collaborate with global teams in an agile environment What you’ll bring: Strong SQL + ETL/ELT experience Knowledge of Python/T-SQL Exposure to cloud platforms (Azure preferred) Nice to have: Databricks, Spark, CI/CD, big data ...

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 ...

years of hands-on data engineering, ideally including work on a data lake or lakehouse. • Solid SQL and Python, with practical ELT/ETL experience (event streaming, CDC or API-led integration a plus). • Comfortable building data transformations to a defined model; exposure to canonical/dimensional modelling. • Hands ...

with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It Work on meaningful data challenges that directly ...

Data Analytics or Data Science Advanced SQL skills Experience with Tableau, Qlik, Power BI or similar visualisation tools Exposure to Snowflake, Databricks, Spark and ETL processes Strong stakeholder management and data storytelling abilities Experience with Python or R is advantageous Knowledge of A/B testing, Machine Learning and Generative ...

cross-functional teams to create end-to-end data solutions that support our analysts and business teams Design, implement, and optimise a cloud-based Extract-Load-Transform (ELT) platform to reshape RVU’s data infrastructure and data warehouse Become an expert on handling behavioural data from more than three websites … Experience building, designing, refactoring or optimising data lakes and data warehouses from a variety of data sources using data modelling techniques Experience in Building Extract Transform and Load (ETL) pipeline (streaming/batch) using MPP frameworks (Spark, Beam, or other) Experience in orchestrating complex pipelines using Airflow, Dagster or other ...

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 ...

preferred) and/or AWS/GCP; Kubernetes/Docker; serverless (Azure Functions/Lambda); secure networking/IAM. Data engineering: Spark/Databricks, ETL/ELT pipelines; integration with client data sources and enterprise systems; runbooks and operational handover. Product delivery: workshop facilitation, PRDs, user stories and acceptance criteria ...

Strong software engineering or data engineering background Experience with Python and/or SQL, with exposure to TypeScript or React beneficial Understanding of ETL pipelines, data platforms, and modern application development Strong problem-solving capability and ability to work in ambiguous environments Excellent communication skills and stakeholder engagement experience Comfortable ...

business needs, provided it remains aligned with the overall purpose of the position. Data Extraction & Integration Design, build, and maintain reliable data pipelines to extract data from Azure, Salesforce, Halo ITSM, and other internal or third-party systems. Develop automated ETL processes to ensure timely, accurate, and scalable data refresh … organisations. Strong Python experience (essential), including use for data analysis, automation, modelling, and system integration. Advanced SQL skills and experience building and maintaining ETL pipelines. Advanced Power BI expertise, including DAX, dataflows, model optimisation, and performance tuning. Proven experience extracting and working with data from Azure, Salesforce, and ITSM platforms ...

practice data management Skills & Experience Proven experience as a Data Architect within financial services, pensions, insurance, or asset management Strong understanding of data warehousing, ETL pipelines, and enterprise data architecture Experience with cloud technologies and modern data platforms Knowledge of data governance, master data management, and data security principles Ability ...

projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and ...

investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in office) Sponsorship: Available Salary: £90k–£105k + benefits Tech stack: Azure, Python, GenAI/LLMs ...

policy administration, finance, and reinsurance processes Ability to work with suppliers/vendors and manage UAT activities effectively Hands-on experience in Data Validation, ETL/Data Migration Testing, and data-driven projects Experience in Web Application Testing and Agile/Scrum delivery models Expertise in Jira and test lifecycle ...

platforms and related capture systems such as Bloomberg, LSEG, ICE, Symphony, WhatsApp, WeCom, Smarsh, Global Relay, Behavox, etc. Experience with Communications data, related schemas, ETL/ELT pipelines, and data integrity standards. Experience with CI/CD pipelines and agile methodologies. Excellent communication and collaboration skills. Desired Knowledge Knowledge ...

processing Provide technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large ...

strong technical capability combined with the ability to understand business needs and translate them into effective data solutions. Key Responsibilities Build, develop, and maintain ETL/ELT data pipelines and data workflows Apply DataOps and software engineering best practices to deliver robust data solutions Work with stakeholders to understand and … data engineering tools and technologies Skills & Experience Required Strong experience in SQL and Python (or similar programming languages) Solid understanding of data engineering principles, ETL/ELT pipelines, and data workflows Experience with data modelling, data governance, and data quality practices Exposure to cloud platforms such as AWS, Azure ...

fast-moving, highly technical team environment What We’re Looking For Experience with Python, SQL, TypeScript or React Understanding of data engineering & ETL principles Strong communication and stakeholder skills Curious, adaptable, and solutions-focused mindset Palantir experience is a plus, not a requirement This is a great opportunity for someone ...

data domains, ensuring alignment with enterprise architecture standards Design and implement scalable Master Data Management frameworks and integration patterns Architect data ingestion pipelines and ETL processes integrating multiple source systems into an MDM hub Define matching, merging and survivorship rules to ensure trusted master data Establish data quality frameworks including ...

Essential Strong experience in Systems Integration, Integration Engineering, Application Integration, or a similar technical role. Hands-on experience working with REST APIs, web services, ETL processes, webhooks, and system integrations. Strong troubleshooting and problem-solving skills. Experience working with third-party vendors and technology partners. Ability to communicate technical concepts ...