1 to 25 of 27 ETL Jobs in Slough

have the opportunity to: Interpret and validate data requirements, analyse large-scale structured datasets, and ensure data accuracy and completeness. Design and implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). ...

best practises, including data security, data quality and data lineage. Other requirements include: Comfortable working in Microsoft Stack (Fabric, Azure, Power BI) Knowledge of ETL processes, semantic layers and tools like DBT Proficiency in Python for data manipulation and automation Ability to challenge assumptions and educate senior staff on data ...

and implement management dashboards for global leaders, agency heads, and account managers to enable proactive decision-making and performance tracking. Establish data pipelines and ETL processes to ensure timely, accurate and secure data flow across platforms. Strategic Leadership Define and execute a scalable data strategy aligned with business goals and ...

least five years. Responsibilities: Analyse data requirements and work with large, structured datasets to ensure accuracy and completeness Build and maintain scalable ETL/ELT pipelines for ingestion, transformation, and validation Develop data models and implement storage solutions such as S3, Azure Blob, BigQuery or Snowflake Apply data quality checks ...

conscience of the programme - reviewing architecture, data models, pipelines, and design decisions Support development of data pipelines, Fabric workloads, and Power BI integration Validate ETL/ELT processes, migrated datasets, and performance optimisation approaches Ensure data governance, security, privacy, and quality standards are embedded from day one Confidently challenge vendors ...

Google Data Studio or Power BI Knowledge in A/B Testing, Statistics, Google Cloud Platform, Google Big Query, Agile Development, DevOps, Date Engineering, ETL Data Processing Strong Migration experience of production Hadoop Cluster to Google Cloud. Relevant Certifications Certifications: Google Professional Cloud architect ...

working with large-scale, time-series, or event-driven datasets. Ability to design experiments, validate models, and interpret results critically. Data Engineering: Experience building ETL pipelines and working with streaming technologies such as Kafka is beneficial. Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data stack tooling. Communication ...

time to join, add value, and grow throughout a long-term programme. Key Responsibilities • Design, develop and maintain scalable cloud-native data pipelines • Implement ETL/ELT processes to manage structured and unstructured data securely and efficiently • Ensure data integrity, traceability and compliance across all pipeline stages • Work with cross ...

analysis and visualisation Collaborate with stakeholders for requirement gathering, plan project deliverables, and track implementation with analysts, data engineers and developers Lead implementation of ETL and processing pipelines, data derivation and analysis Working across teams, supporting clients and reporting progress to senior management You'll need to have: 4 years ...

Technical Business Analyst - ETL, API, Integration, Low-code Up to £650 per day (Inside IR35 - Umbrella) South of London/Hybrid 6 Months My client is an instantly recognisable firm who urgently require a Technical Business Analyst with strong Data and ETL skills, and working knowledge of API tooling and … external). Key Requirements: Proven experience as a Technical Business Analyst/Business Data Analyst within a large, complex regulated organisation Strong Data and ETL (Extract, Transform, Load) skills Previous experience of API and Integration tooling (ie Postman API) Ability to create a lightweight User Interface, preferably using low-code ...

generation of its market data platform, working directly with quants, PMs, and traders to power insights that drive investment returns. You'll: Develop scalable ETL pipelines in Python for high-volume financial data. Build cloud-based data lake environments (AWS/Databricks). Implement robust data validation and quality checks. ...

and developing cloud based data pipelines and warehouse solutions • Supporting a major data migration and helping shape a future lakehouse architecture • Building and optimising ETL and ELT workflows using modern tooling • Working with real time data pipelines and streaming technologies including Kafka • Working with cross functional teams to translate requirements ...

similar Excellent skills in MS SQL Server products, particularly T-SQL skills. Good skills in one or several areas like Information Management, BI, ETL-tool, SQL Server BI Stack (SSIS, SSRS, SSAS) Excellent skills in Microsoft .net, preferably C# Experience: 3-5 years in financial/banking industry would ...

Senior Data Engineer with some team leadership responsibilities Strong technical expertise with PySpark, Databricks, Azure, and Data Lake Deep understanding of data architecture and ETL processes in cloud environments The ability to balance coding and technical delivery with people management Excellent problem-solving skills and the energy to thrive ...

deployment scripts and contributing to continuous improvement of deployment processes Required Competencies Strong knowledge of database systems, particularly Microsoft SQL Server, and familiarity with ETL processes and tools. Strong understanding of cloud-based data solutions, preferably Microsoft Azure. Experience maintaining online reporting tools such as Power BI. Proficiency in PowerShell ...

optimisation. Data Warehousing & Modelling: In-depth understanding of data warehousing principles and modelling concepts. Experience with designing efficient schemas, including normalisation and denormalisation techniques. ETL/ELT Pipelines: Proven experience building and maintaining ETL/ELT processes. Ability to extract data from diverse sources, transform it effectively, and load ...

management, documentation, and structured delivery methods (Agile/Waterfall). Skilled in Jira, SharePoint, MS Project, Excel, PowerPoint, and Visio. Familiar with data warehousing, ETL, and BI frameworks. Why Join Be part of a high‐profile team delivering front‐to‐back banking transformation. Contribute to modernisation of core and treasury ...

Understanding supply chain and marketing business functions. • Architect complex integration with ERP, PLM, CRM, DAM and downstream using APIs, REST/SOAP services or ETL tools. • Clear understanding on data integration (both inbound and outbound) mechanism and workflow. Desirable skills/knowledge/experience: • Experience in performance improvement. • Experience ...

Modeling SaaS/Cloud architectures Oracle database architecture Architecting and tuning integrations (with products like Oracle Integration Cloud, Boomi, Mulesoft, Celigo, Workato or Snaplogic) ETL tools and techniques Experience in the following areas are desired: Software development life-cycles (SDLC) Release management and/or Agile scrum master experience Developing ...

technical translator - you can translate business needs into technical and functional data product requirements. Experience with data - knowledge with areas such as pipelines, ETL processes, and data product delivery. Strong stakeholder communication skills. Financial services/investment sector domain knowledge is preferred. What's in it for you? Competitive basic ...

enhance efficiency, automate processes, and drive strategic decision-making. You will be responsible for gathering, cleaning, and integrating data from diverse sources, developing efficient Extract, Transform, Load (ETL) procedures, and utilizing BI tools such as Tableau and Power BI to create clear, impactful dashboards and reports. Advanced skills in Excel ...

enabling high-quality, accessible data for downstream users. The Role As a Data Engineer, you will: Design, build, and maintain scalable data pipelines and ETL processes Integrate structured and unstructured data from multiple internal and external sources Ensure data quality, consistency, performance, and security across platforms Collaborate with analytics engineers … Responsibilities Build and manage robust data infrastructure for large-scale data ingestion and processing Develop automated, reliable data pipelines aligned to best practices Optimise ETL workflows for performance and scalability Implement data governance, access controls, and security standards Support self-service analytics by enabling clean, well-structured datasets Proactively identify ...

deployment. Act as Subject Matter Expert (SME) on commodities and oil market data, curves, and pricing structures. Design, enhance, and maintain data parsers and ETL/ELT workflows to ensure standardised, testable, and scalable data delivery. Develop and manage complex oil market curves to support pricing and risk management. Liaise … financial trading environments. Deep understanding of market data onboarding, processing, and distribution from multiple data sources (files, APIs, web scraping). Strong background in ETL/ELT pipelines, data warehousing, and data management best practices. Proficiency with data processing frameworks, automation, and deployment workflows. Hands-on experience in developing data ...

with front-office and technology stakeholders. Key Responsibilities • Develop and maintain Python applications and internal tools used by investment and risk teams • Build reliable ETL/ELT pipelines for financial, market, and operational datasets • Work with structured financial data, market data feeds, and fixed income datasets • Collaborate with traders, analysts … hands-on Python programming experience • Background in investment banking, hedge funds, or financial markets • Good understanding of fixed income (bonds, credit, rates) • Experience building ETL/ELT pipelines and handling large datasets • Strong SQL skills and familiarity with structured data environments • Experience working with trading, risk, or analytics systems • Strong ...

+ AI, graph + reasoning + M Responsibilities Lead KG schema & ontology design across domains (assets, risk, supply chain, compliance) Build ingestion pipelines (ETL/streaming/CDC) and entity resolution for graph population Author complex queries (Cypher, GSQL, AQL, SPARQL etc. depending on stack) Integrate knowledge graph retrieval & reasoning … least one graph technology: Neo4j, TigerGraph, ArangoDB, OrientDB, or Stardog Proficiency in query languages (Cypher, GSQL, AQL, SPARQL, etc.) Strong background in pipelines, ETL, and entity resolution Exposure to integrating KG + LLM or RAG architectures Experience with graph algorithms, embeddings, or GNNs Cloud & production engineering literacy (AWS/Azure ...