51 to 75 of 102 ETL Jobs in Slough

Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Proven ability More ❯

months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good Understanding of Airflow,Data Fusion and Data Flow Strong Background and experience in Data Ingestions More ❯

database architecture Practical experience with data warehousing platforms (Snowflake, PostgreSQL, MySQL) Solid Python programming capabilities for data engineering workflows Proven track record designing and maintaining production-grade ELT/ETL solutions Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy. More ❯

requirements into technical solutions Take ownership of cloud migration and data platform modernization strategies Undertake data modelling tasks with a focus on long-term maintainability and scalability Designing robust ETL/ELT pipelines using cloud-based tooling Implementing governance frameworks and data quality controls To be successful in this role, you will have: Strong background in Data Warehousing/Data More ❯

expertise in Azure Databricks to join a Global company on a 12 Month initial Contract. Key Responsibilities: Design, build, and manage large-scale data platforms with a focus on ETL, Data Management, and Data Governance Develop and maintain Databricks Delta Live Tables (DLT) pipelines with strong emphasis on cost and performance optimisation Implement and manage structured streaming and real-time More ❯

throughout all project phases Required Skills: Strong Application development experience in Scala/Python Strong Database SQL experience, preferably Redshift Experience in Snowflake is an added advantage Experience with ETL/ELT process and frameworks is a must What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world More ❯

technologies · Experience in monetary policy analysis · Experience in time series database analysis · Experience in large Business Transformation Programs involving process reengineering · Extensive experience in UCD led approach, UI development, ETL processes, data flows analysis, cloud architecture, and data modernisation/transformation programs · Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative ways forward and More ❯

depth experience with all things data including the ability to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes Familiarity with DBT is highly valued In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc. More ❯

Data Factory, Databricks, and related tools. Expand the existing data lake and warehouse to include new domains such as supply chain, marketing, finance, and customer data. Develop and optimise ETL/ELT processes to integrate data from diverse global sources (POS systems, e-commerce platforms, CRM, ERP, etc.). Implement data quality frameworks, monitoring, and alerting to ensure high data … Azure data ecosystem, including: Azure Data Lake/Data Lakehouse Azure Data Factory/Synapse Pipelines Databricks Azure SQL Database or Synapse Analytics Solid understanding of data warehousing principles, ETL/ELT design, and data modelling Experience with CI/CD Familiarity with data quality frameworks and data governance. Strong SQL and Python skills. Experience working in Agile delivery environments. More ❯

modern cloud data environment. Key Responsibilities Build and maintain Power BI reports and dashboards that deliver accurate and timely insights for operational and business stakeholders. Develop, test, and maintain ETL pipelines in Azure Data Factory (ADF) to ensure reliable data integration and transformation. Work with Azure Synapse Analytics to model, query, and optimise data for analysis and reporting. Support the … Technical Skills Power BI: Strong experience in developing and publishing reports, dashboards, and data models using DAX and Power Query. Azure Data Factory: Hands-on experience building and maintaining ETL pipelines. Azure Synapse Analytics: Working knowledge of data modelling, views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure More ❯

s future data strategy. What you’ll bring: Strong background in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a More ❯

looking for a skilled Data Engineer to play a crucial role in building and optimizing the firm's data infrastructure. Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes. Collaborate with data scientists and analysts to support data-driven strategies. Ensure data accuracy, consistency, and security across various data sources. Drive innovation by exploring new technologies and best More ❯

impactful, data-driven solutions, while documenting processes for team-wide support. What skills you’ll need • Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. More ❯

promises exciting, engaging and rewarding 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 outputs Set up monitoring and More ❯

Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to More ❯

to power our trading, operational, and marketing intelligence. About the Role We are seeking a Senior Data Engineer to lead the technical build-out of this initiative — from designing ETL pipelines to creating a secure, scalable data warehouse that underpins business-critical reporting and analytics. This is a high-impact role at the intersection of technology and financial insight, ideal … trading-driven organisations, willing to grow into a Head of Data. Responsibilities Design, develop, and deploy a robust data infrastructure leveraging cloud-based services (AWS). Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools … Key Objectives for the first six months Define the core data architecture and choice of toolset. Define data models. Establish a secure and automated data development cycle. Build foundational ETL pipelines. Project Ownership Drive the full lifecycle of the data centre project, establishing foundations for downstream reporting and BI functions. Support future integration of a dedicated Data & Reporting Analyst role More ❯

to define the data vision and enable meaningful business transformation. Key Responsibilities Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP). Develop ETL/ELT pipelines to manage structured and unstructured data at scale. Enable self-service BI and deliver insights through Power BI dashboards and advanced analytics. Integrate AI and automation into … teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer More ❯

API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working knowledge of cloud platforms (primarily Azure) and associated data services. Strong understanding of data modelling, ETL workflows, and system integration. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy. More ❯

will work closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements and translate them More ❯

teams. Uphold engineering and compliance standards, ensuring solutions remain secure and audit-ready. Skills & Competencies Expert-level Salesforce data architecture, Flows, Apex, LWC, and OmniStudio. Strong integration expertise (APIs, ETL, asynchronous/event-driven architecture). Proficiency in Salesforce DevOps (Salesforce DX, CI/CD pipelines, 2GP packaging). Skilled in SOQL/SOSL optimisation and scalable data modelling. Strong More ❯

to drive the data migration workstream implement the migration strategy. 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 ❯

management Solid hands-on C#/.NET skills for APIs, automation, and custom tooling Understanding of data flows, system integrations , and automation best practices Experience with SSIS or similar ETL tools (desirable, not essential) Contract: Permanent Salary: £44,000 – £48,000 per annum Location: Hybrid – 2 days per week in London More ❯

services Design solutions for client problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and More ❯

Skills & Competencies Advanced Salesforce DevOps (2GP, CI/CD, modular architecture). Deep expertise in Salesforce data architecture, Flows, Apex, Lightning Web Components (LWC), OmniStudio. Strong integration knowledge (APIs, ETL, asynchronous/event-driven patterns). Proficiency in Salesforce design patterns and scalable component-based development. UI/UX development aligned with accessibility and responsive design standards. Experience with AppExchange More ❯

existing and new advanced Power BI dashboards and reports. Assume ownership of data within Microsoft Dynamics 365, including cleansing, validation, and reconciliation. Design scalable data models and implement robust ETL processes. Develop and maintain APIs and data interfaces to enhance system connectivity. Ownership of the Data team ticketing system, to track and resolve issues efficiently. Collaborate with technical and non … sales modules). Demonstrable full-stack development skills in SQL, Turbo C and Python, with proven experience in API development and data integration. Experience designing scalable data architectures and ETL pipelines. Proven ability to manage multiple priorities and deliver projects successfully. Exceptional communication skills, with the ability to translate complex technical concepts for non-technical audiences. Demonstrable understanding of data More ❯