76 to 100 of 102 ETL Jobs in Slough

to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data pipelines and ETL processes Analyse client challenges and design tailored solutions Collaborate on implementing AI and machine learning models Serve as a point of contact, providing consultative guidance and support Requirements: Proven programming More ❯

the heart of a fast-paced trading environment, blending operational expertise with technical precision to ensure seamless trading execution and reliable market data delivery. Key Responsibilities Oversee and validate ETL pipelines to ensure accurate and timely pricing data using Python and SQL Bring trading systems online and provide Tier 1 and Tier 2 operational support across trading sessions Streamline, automate More ❯

Programme-level Test management within finance, actuarial, or regulatory transformation initiatives. Strong understanding of insurance data, claims processing, actuarial reserving, and financial reporting. Hands-on experience with data platforms, ETL pipelines, and enterprise reporting tools. Excellent stakeholder management and communication skills across business and technical domains. Familiarity with governance frameworks, change management, and release planning in regulated environments. All profiles More ❯

Data/Commercial Analyst - large volumes of data & ETL London Hybrid (2-3 days per week in office) Salary £55,000 to £65,000 negotiable dependent on skills & experience Job Reference J13022 Founded over a decade ago, this organisation is an International Digital Solutions provider that offers a range of Hosting related services, including web hosting, domain registration, VPS, complex More ❯

takes pride in engineering fundamentals, thrives in a small team, and wants to see the commercial impact of their work. Key Responsibilities Develop, maintain, and enhance data pipelines and ETL processes using Python and SQL. Manage and integrate API connections and FTP data feeds into internal systems. Build and support dashboards and reports to provide visibility across trading and operations. … Maths, Physics). 2–4 years’ experience in a technical, data, or engineering-focused role. Strong skills in Python, SQL, and Excel/VBA . Experience building or maintaining ETL/data pipelines , particularly around APIs or FTP processes. Working knowledge of Microsoft Azure and Git . Excellent analytical, communication, and problem-solving skills. A proactive, curious mindset and a More ❯

validation checks on our release data sets · Automation: Automate all routine data checks, data loading processes, and reporting workflows · Data Insights & Tooling: Build internal tools and analytical solutions to extract and surface valuable insights from our proprietary data · Reporting & Analysis: Provide direct data analysis to support the insight team, as well as handling customer queries and producing scheduled data extracts … Apply basic DevOps concepts to maintain services and work across our server and cloud platforms, including contributing to networking solutions Skill Set: Essential: · Programming & Pipelines: Proven experience building robust ETL/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery More ❯

a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting … GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data More ❯

Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks Data Platform, ensuring performance, scalability, and availability. 🔹 Data Pipelines – Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. 🔹 Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. 🔹 CI/CD & Automation – Create deployment pipelines and automate workflows. 🔹 Collaboration – Work with stakeholders across Global IT, Data … hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on More ❯

validation to maintain operational stability. Mandatory Skills Programme-level test management within finance, actuarial, or regulatory transformation initiatives. Insurance data, claims processing, actuarial reserving, and financial reporting. Data platforms, ETL pipelines, and enterprise reporting tools. Stakeholder management and communication across business and technical domains. Governance frameworks, change management, and release planning in regulated environments. Desirable Skills UK-based finance and More ❯

Fabric, helping to design and deliver the next generation of their data environment using Azure technologies. Key Responsibilities Lead and support the QlikView → Microsoft Fabric migration Build and maintain ETL processes and data pipelines Develop scalable solutions in Azure Data Factory and Microsoft Fabric Create insightful Power BI dashboards and visualisations Write and optimise SQL queries to support reporting and … analytics Collaborate across teams to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI and data visualisation Background as a Data Developer/Data Engineer Experience migrating from QlikView (essential) Azure certifications beneficial Must be able to drive to site if Essex is More ❯

IR35 🚂 Working pattern: Hybrid — 2 days per week in London office 💻 Python, Front Office Trading Systems, Metals Commodity Knowledge Key responsibilities Design, develop and maintain production Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. … maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB or similar). Familiarity with More ❯

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you … opportunity to join a team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using … solutions Create mapping documents, transformation rules, and ensure quality delivery Contribute to DevOps processes, CI/CD deployments, and agile delivery models Requirements 8+ years' experience in data engineering, ETL development and big data solutions Recent experience within Insurance Technology essential Solid expertise with Azure Databricks, Data Factory, ADLS, Synapse, and Azure SQL Strong skills in SQL, Python, and PySpark More ❯

and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting. Modernise and manage databases , ensuring performance optimisation, governance standards, and … and cross-functional workshops to support platform migration and ongoing delivery. Experience: 6–10 years experience with SQL Server (including T-SQL and performance tuning). Proven background in ETL/ELT design (ideally using Azure Data Factory). Hands on experience with cloud-based data ingestion and transformation (preferably Azure). Familiarity with Azure Medallion architecture or similar layered More ❯

dynamic team and help shape the future of their data strategy. 🔍 Your Role: You’ll collaborate across the business to deliver high-impact data, applications, and services. From designing ETL pipelines to automating key processes, you’ll be at the heart of our data transformation journey. 🎯 What We’re Looking For: Proven experience in data engineering and solution design Strong … skills in Azure Data Factory, Databricks, Unity Catalogue, and SQL Server Practical knowledge of data modelling and ETL development Hands-on coding and development with a focus on quality Excellent communication and stakeholder engagement skills A collaborative, problem-solving mindset 💡 What You’ll Do: Build strong stakeholder relationships to shape effective data solutions Design and implement data models and ETL More ❯

s and London Market—is essential. What You’ll Do Build and maintain advanced Power BI dashboards and visual reports Write and optimise complex SQL queries , stored procedures, and ETL workflows Translate business needs into technical BI solutions by working closely with stakeholders Model and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple … re Looking For Technical Skills Expertise in Power BI (DAX, Power Query) and building impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms is a plus Domain Knowledge More ❯

Partnering with teams to understand business needs and turning them into meaningful BI solutions Designing and building reports, dashboards, and data models that tell a clear story Developing efficient ETL processes and ensuring data accuracy and integrity Owning projects from start to finish with the freedom to innovate and improve Supporting colleagues with insights, guidance, and user-friendly reports Staying … Strong SQL skills and hands-on experience with Microsoft SQL Server BI tools Experience building dashboards in Power BI, Tableau, or similar platforms Confidence working with relational databases and ETL processes Excellent Excel and data manipulation ability Clear communicator who enjoys working with stakeholders and translating needs into solutions Previous experience in a BI, MIS, or data-focused role Bonus More ❯

who want to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts … financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. More ❯

Key Responsibilities: Requirement Gathering: Collaborate with business and data teams to understand reporting needs and translate them into technical specifications. Data Integration & Modeling: Design efficient data models and perform ETL from various sources to ensure data accuracy and performance. Dashboard Development: Build interactive, user-friendly dashboards and reports using Qlik Sense scripting and visualization tools. Performance Optimization: Enhance application performance … and apply best practices to improve solution design and performance. Required Skills: •Qlik Sense Expertise: Proficiency in Qlik Sense, including data modeling, scripting, and visualization techniques. •Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. •Scripting: Experience with Qlik’s scripting language for custom data loading, transformation, and calculations. More ❯

turning business needs into actionable insights. Working closely with Qlik Developers , you ensure that dashboards are aligned with stakeholder goals and deliver accurate, impactful visualizations. You leverage Snowflake to extract, transform, and model relevant data, maintaining scalable structures that support KPIs and performance metrics across departments. Your work enables data-driven decisions , process optimization, and operational visibility. Key Responsibilities Business … with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability More ❯

the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes … Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

and platform enablement. Key Responsibilities Platform Architecture Design and implement scalable data environments on Snowflake , ensuring performance, security, and reusability. Establish integration patterns between Snowflake and wider ecosystems including ETL/ELT tools , BI platforms, and cloud services (AWS, Azure, GCP). Delivery & Optimisation Lead migration and transformation initiatives using Snowpipe , Streams , Tasks , Snowpark , and related services. Optimise workloads for … and governance frameworks. Required Skills & Experience Proven experience architecting and implementing Snowflake solutions at scale. Strong background in data modelling , data pipelines , and performance tuning . Familiarity with modern ETL/ELT tooling , orchestration platforms, and BI integration. Experience working across AWS, Azure, or GCP data ecosystems. Excellent stakeholder communication and client-facing consulting capability. [Optional: SnowPro Core or Advanced More ❯

years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Key job responsibilities • Design, develop, and oversee the reporting pipelines to onboard internal and external data sources provided metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL … Oracle, NoSQL etc. experience • Knowledge of paid media buying and general marketing • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience writing complex SQL queries • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling • Experience developing and … of new metrics allowing better understanding of the performance of the business Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code More ❯

Position: Principal Consultant Employment Type: Permanent Language(s): English Salary: Up to £105,000 p/a + bonus and benefits Client – Partnered with a global leader in digital transformation and IT services, working with some of the world’s More ❯

world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role: Seeking a skilled Data Analyst with expertise in Teradata, Informatica ETL, and risk modeling using SAS and Python. Design and implement ETL workflows to manage data extraction, transformation, and loading into Teradata. Build and maintain risk models for credit, operational, and … deliver data-driven solutions. Perform exploratory data analysis to uncover trends and support risk mitigation. Automate reporting and dashboard creation using Python and BI tools. Optimize Teradata queries and ETL performance for efficient data processing. Document data flows, model logic, and technical specifications for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives. Your Profile: 3+ years … of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping More ❯

including scope, approach, governance, tools, timelines, and success criteria. Ensure alignment with business objectives, IT architecture, and compliance requirements. Develop detailed migration plans that align with project timelines. Coordinate ETL processes, data cleansing, and transformation activities with internal IT, business and external vendors. Document Business Data Requirements and Data Mapping Work collaboratively with business analysts, reinsurance teams and product specialists … quality, and resolve related issues during stabilisation and audit review. Requirements: Proven experience leading data migration projects within insurance, reinsurance, or financial services environments. Strong knowledge of data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication More ❯