1 to 25 of 157 Permanent ETL Jobs in 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 ...

future of the organisation's data platform. What You'll Be Doing Develop, maintain, and optimise data pipelines and data models Design and build ETL/ELT processes integrating data from multiple sources Create high-quality, governed datasets to support business reporting and analytics Develop solutions using Microsoft Fabric, Azure ...

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 ...

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 ...

Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge of Databricks security: RBAC, IAM, encryption Excellent analytical ...

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 ...

Synapse, Azure Data Factory, and Azure Fabric. Developing and fine-tuning PySpark notebooks to efficiently manage large-scale data workloads. Implementing, troubleshooting, and enhancing ETL/ELT workflows in Azure Synapse and Microsoft Fabric. Managing and organizing Data Lakes for seamless data access and high performance. Integrating AI/ ...

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 ...

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 ...

commodities, trading, or financial markets Experience with derivatives pricing or risk systems Knowledge of Numerix or similar quant/risk platforms Understanding of ETL and data pipeline design Experience working in Agile delivery environments McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. ...

and AI into dashboard reporting Required Deep knowledge of modern data architecture. Experience within Cloud platforms (Azure, AWS, Databricks). Strong understanding of ETL/ELT, API’s and integration patterns. Strong communication and stakeholder engagement. 5years+ in data architecture or related fields. Deep understanding of Information Security, alongside privacy ...

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 ...

including data lakes, lakehouses, and data warehouses Experience working with APIs, databases, and structured/semi‐structured data Engineering & Platform Foundations Experience building scalable ETL/ELT pipelines Familiarity with CI/CD concepts, testing, and production deployments Strong focus on solution quality, maintainability, and performance Bachelor’s or Master ...

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 ...

frameworks, including Agile methodologies Exposure to consolidation and financial reporting, sales performance management, supply chain, management reporting or enterprise operational planning Experience with leading ETL tools such as Informatica, SnapLogic or Oracle Data Integrator (ODI) Working knowledge of relational database management systems, including SQL, ANSI SQL, MySQL, Oracle PL/ ...

and analytics tools including Power BI, Tableau or equivalent BI platforms used for programme performance reporting. Strong understanding of integration technologies including API design, ETL processes, data pipelines and interoperability standards relevant to controls ecosystems. Degree in engineering, computer science, project management or a related discipline or equivalent professional experience. ...

and maintain robust interfaces and connectors to strategic enterprise systems, ensuring data integrity and reliable transfer.* **Data Management:** Facilitate data extraction, transformation, and loading (ETL) from various sources, including interfacing with our Azure-hosted Data Lake, to support local analytics and reporting (Databricks application experience desirable).* **Fund Modelling & Optimisation ...

data architecture, engineering and operational efficiencies. Proven experience architecting and developing AI enabled accelerators for various data management use cases (ingestion, DQ, data mapping, ETL/ELTs etc.) Databricks Platform Expertise – Deep experience with Databricks, including environment setup, architecture, tooling, engineering, optimization, and operational delivery. Data Engineering Delivery – Strong expertise ...

Revit API, pyRevit, Rhino, Grasshopper, IES VE (and it’s Python API), BIM data standards (IFC, COBie) Cloud & Infrastructure: AWS/Azure, Git, Ansible Extract, Transform and Load (ETL) Responsibilities Key responsibilities of the roleIn addition to the core technology listed above, this role will involve: Developing and maintaining custom ...

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 ...

Fixed Income/Currencies/Sales/Trading data Worked closely with front-office stakeholders Data Architecture/Engineering Awareness Understanding of data pipelines, ETL, reporting layers Exposure to data platforms (DWH, cloud, big data) Data Analysis & Root Cause Skills Hands-on experience in analyzing large datasets Proven ability ...

Responsibilities Data Engineering & Platform Development Design, develop, and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology, Workshop, etc.) Implement data transformations, ETL/ELT workflows, and orchestration within Foundry/FDP environments Develop modular, reusable data components following software engineering best practices Build and maintain data products ...