23 of 23 Permanent ETL Jobs in Central London

suited to someone who's confident communicating with data, product, and engineering teams, not a 'heads-down coder' type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing More ❯

this is your chance to make an impact. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus: Python What you'll do Design and implement scalable Azure-based data solutions Build and optimize data pipelines More ❯

innovative solutions and maintaining a strong reputation for excellence in analytics and data-driven decision-making. Description Senior Data Engineer Develop and maintain robust and scalable data pipelines and ETL processes. Optimise data workflows and ensure efficient data storage solutions. Collaborate with analytics and engineering teams to meet business objectives. Ensure data integrity and implement best practices for data governance. More ❯

background in hands-on development of platforms/dashboards inc SQL, ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data – Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI/NLP/ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with More ❯

architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory , Databricks , and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect and deploy scalable data lake More ❯

the forefront of the data engineering field. You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power BI dashboards for global More ❯

in our London office) What We're Looking For: Strong experience with Azure Data Services (Data Factory, Synapse, etc.) Hands-on expertise with Databricks and Python Solid understanding of ETL processes and data modelling Excellent problem-solving and communication skills Benefits: Work on high-impact projects with top-tier clients Competitive salary of £65,000 plus benefits Hybrid flexibility and More ❯

experience building hybrid automation solutions combining multiple technologies. Data Engineering & Pipeline Development - Strong skills in building data pipelines for AI/automation solutions including data extraction, transformation, and loading (ETL). Experience with SQL databases (SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying More ❯

SQL/T-SQL/ETL/SSIS/SSRS/Power BI/Reporting/Reports/Developer/Develop/Databases/DBA/Azure/Financial Services/Banking/Bank/Building Society/Insurance/Finance/Financial/London/Permanent/£50-65k SQL Server Developer/DBA Location: City of London More ❯

modern cloud-based platforms , managing APIs for seamless data exchange , and ensuring data quality, security, and reliability across all systems. Youll play a key role in developing and optimising ETL pipelines , automating data workflows , and supporting integration between core business systems such as Microsoft Dynamics . Strong hands-on experience with Azure, SQL, and Python-based data engineering is essential. … strategy of a dynamic, technology-focused business. What Youll Be Doing Lead and deliver data migration projects from legacy systems to modern, cloud-based environments. Design, develop, and optimise ETL pipelines and automated data workflows. Collaborate across IT and business functions to define data requirements and deliver efficient solutions. Manage and maintain data integrations and APIs for seamless information flow … projects , ideally with ERP/CRM systems such as Microsoft Dynamics . Strong technical skills in Python , including libraries such as Pandas and NumPy . Hands-on experience with ETL design, data warehousing, and relational databases (SQL). Advanced proficiency in SQL and data modelling techniques. Knowledge of cloud data platforms (Azure preferred, AWS or GCP also considered). Experience More ❯

CD/HLD/LLD/DFD. Essential Skills & Experience Proven experience designing and owning system architecture for large-scale compliance or AML platforms Strong background building and optimising ETL/ELT data pipelines handling high-volume financial data Hands-on expertise with microservices, APIs and event-driven systems (e.g., Kafka) Ability to translate AML regulatory requirements (KYC, CDD, CRR More ❯

Responsibilities Design, build, and maintain scalable data pipelines across modern cloud platforms Drive the implementation of GenAI frameworks, including model deployment, monitoring, and lifecycle management ('GenAI Ops') Develop robust ETL/ELT workflows and optimise performance within Snowflake Collaborate with cross-functional teams to integrate AI solutions into data ecosystems Must-Haves Strong background in Data Engineering at a senior More ❯

Python code. Experience building and documenting APIs. Deep knowledge of Python ecosystem (Pandas, Numpy, Bokeh, PyArrow, Matplotlib, IPyWidgets, Jupyter, etc.). Proven experience with large-scale data pipelines and ETL workflows. Comfortable working in Jupyter notebooks. Understanding of crypto or traditional financial markets. Nice to Have: Experience with crypto exchanges and market microstructure. Hands-on with interactive visualization libraries (e.g. More ❯

on Azure Data Factory, Synapse, Data Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data … Agile delivery through Azure DevOps and CI/CD practices. Key Skills & Experience Essential: Advanced Power BI expertise: datasets, DAX, modelling, governance, performance tuning. Expert-level Azure Data Factory (ETL/ELT pipelines, automation, optimisation). Strong Azure Synapse experience: warehousing, SQL pools, query tuning, stored procedures. Deep proficiency in SQL development and optimisation. Solid understanding of Azure Data Lake More ❯

considering security, sensitivity, and a strategic versus tactical approach. Work closely with the Data Engineering counterparts to develop the building blocks to analytics by understanding and contributing to the ETL processes with knowledge of project required analytical outputs. Possess foresight in builds of curated datasets to allow for further use cases than the original ask to support Data Engineering with … or business intelligence. Extensive experience in data analytics and data visualisation, inclusive of elements such as impact analysis and beyond descriptive and diagnostic analytics. Experience with designing and building ETL, data warehousing, data preparation and SQL. A track record in making data solutions accessible for end-users. Experience of working with stakeholders to deliver a data-driven approach to decision More ❯

and software life cycle. Experience with enterprise integration, governance, and security best practices. Technical expertise in web, service-based, and cloud architectures. Knowledge of databases (MS SQL, Oracle) and ETL tools (eg, Informatica). Proven track record of delivering solutions with measurable business outcomes. Ability to coach, mentor, and influence technical teams. For a full consultation on this exciting new More ❯

pipelines (e.g., GitHub Actions, Copado, Bitbucket Pipelines). Familiarity with security and compliance standards relevant to financial data. Experience with data migration tools (Data Loader, Data Import Wizard, or ETL tools). Work Environment Hybrid working model with 3 days per week on-site for collaboration with product and engineering teams. Modern tech stack and opportunities to work on innovative More ❯

ll Deliver End-to-end data solutions covering acquisition, engineering, modelling, analysis, and visualisation. Client workshops and communication at both technical and business levels. Design and implementation of robust ETL/ELT solutions using the Microsoft/Azure ecosystem (Fabric/Databricks). Development of data lakehouse architectures using a medallion design approach. Scalable engineering solutions that meet current and … Ability to build strong, collaborative relationships with teams and clients. Practical experience in data engineering or data warehousing with Azure/Microsoft or SQL Server technologies. Skills in developing ETL/ELT pipelines using Azure Synapse, Data Factory, Databricks, or Fabric, with SQL and Python. Strong understanding of data lake and lakehouse architectures. Experience working with large, complex datasets from More ❯

designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/Banking sector. Deep understanding of SDLC, systems integration, and data warehousing. Ability to … to join a global top-5 bank with long-term stability, world-class resources, and clear career progression routes. Enterprise Data Architect, EDM Developer, Data Engineering Lead, Data Architect, ETL Developer, Data Solutions Architect, Senior Data Engineer (Financial Services). Apply today for full details. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For More ❯

and Project Management teams to scope and deliver projects. Contribute to technical delivery, designing scalable data solutions in Azure/Microsoft environments. Support cloud migrations, data lake builds, and ETL/ELT pipeline development. Ensure delivery follows best practices and internal standards. Skills & Experience Strong leadership and relationship-building skills. Experience guiding or managing technical teams. Deep hands-on experience … in Data Engineering using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in SQL and Python for ETL/ELT development. Knowledge of data lakes, medallion lakehouse architecture, and large-scale dataset management. Solid understanding of BI, data warehousing, and database optimisation. To apply for this role please submit your CV or contact Dillon Blackburn More ❯

best practices and standards. Support technical delivery when needed, including designing scalable data solutions in Microsoft/Azure environments. Contribute to innovation through cloud migrations, data lakes, and robust ETL/ELT solutions. What We're Looking For Hands-on Data Engineering experience (not Data Analyst or Data Scientist roles). Strong background in Azure Synapse, Databricks, or Microsoft Fabric. … Expertise in ETL/ELT development using SQL and Python. Experience implementing data lakes and medallion lakehouse architecture. Skilled in managing large datasets and writing advanced SQL/Python queries. Solid understanding of BI and data warehousing concepts. Excellent communication skills and ability to build strong relationships. Ideally, experience in consulting environments and working within high-performing teams. The company More ❯

deliver successful projects. Technical Delivery & Innovation Support technical delivery when needed, including designing scalable Azure/Microsoft data solutions. Drive innovation through cloud migrations, data lake implementations, and robust ETL/ELT pipeline development. Skills & Experience You'll thrive in this role if you have: Leadership Proven ability to build strong relationships and foster an inclusive, collaborative environment. Demonstrated leadership … for company values. Technical Expertise Strong background in Data Engineering or Data Warehouse development using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in ETL/ELT design with SQL and Python. Solid understanding of data lakes, medallion lakehouse architecture, and large-scale dataset management. Strong BI and data warehousing knowledge, including database design and More ❯

technical guidance, helping to 'run and improve' the products. Core Skills and Experience Required Development skills in Python Scripting and Microsoft SQL Server (including SSIS) Experience building and operating ETL pipelines with a focus on data quality, lineage and reconciliation Experience with microservices and APIs, building scalable services and integrating with wider enterprise platforms Experience across wider tech stack: GitHub … Compliance Technology, Enterprise Architect (Specialist in Risk/Compliance), Techno-Functional Lead (AML/Sanctions), Lead FinCrime Systems Analyst, Senior Business Analyst (AML Systems), Product Owner (AML Technology), Lead ETL/ELT Engineer, Senior Backend Engineer (Python/SQL). Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients More ❯