1 to 25 of 36 ETL Jobs in Berkshire

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯

must be confident working across: Azure Data Services, including: Azure Data Factory Azure Synapse Analytics Azure Databricks Microsoft Fabric (desirable) Python and PySpark for data engineering, transformation, and automation ETL/ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design Power BI for enterprise-grade reporting and visualisation Strong knowledge of data modelling More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

Experience translating business requirements into technical specifications. Comfortable working within complex and demanding Data & Analytics) environments. Proficiency in Python, PySpark, or other relevant programming languages. Understanding of data modelling, ETL processes, and data pipeline design. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing tools. Exposure to BI tools such as Power BI, Tableau, or Qlik. Knowledge of More ❯

architectures including hub and spoke, data lakes, data fabrics, lakehouses. At different levels, enterprise wide and application. • Strong experience of Data reporting solutions from data warehousing (Kimble and Inmon), ETL, reporting tools, and document stores. • Exceptional communication skills to explain concepts and solution designs to any stakeholders across the enterprise. • Clear formal communication skills to document ideas and solutions. • Collaborative More ❯

a strong understanding of modeling best practices and deployment strategies. Solid knowledge of infrastructure as code using AWS CloudFormation and Terraform to automate and manage cloud resources. Experience developing ETL workflows using AWS Glue, querying data with Athena, and managing access and governance with Lake Formation. Strong command of AWS Lambda for serverless data processing and Boto3 for programmatic interaction More ❯

Smartsheet, Hubspot, and others. Develop 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 value creation plans. Build and More ❯

Design and maintain robust data models and storage solutions mainly using but not limited to SSIS, XML, T-SQL (SSMS) & python. Design, develop, and maintain APIs Optimize performance of ETL/ELT processes and database queries. Implement monitoring and alerting for data workflows. Collaboration & Stakeholder Engagement Work closely with analysts understand data needs. Translate business requirements into technical solutions. Document More ❯

solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc, Informatica, etc.) Implement governance & quality frameworks (Unity Catalog, Profisee, Alation, DQ Pro) Engage clients at C-suite level to shape roadmaps & business cases Mentor More ❯

tools, ideally on Google Cloud Platform. Hands-on experience with BigQuery and data transformation frameworks such as Dataform or DBT is essential. A strong background in SQL (particularly PostgreSQL), ETL/ELT processes, and working with large datasets is required. Experience integrating and preparing data for business intelligence tools like Tableau is also necessary. Familiarity with CI/CD practices More ❯

implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment . Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations. Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements. Optimize data solutions for performance and … up monitoring and data quality exception handling. Strong data modelling experience. Experience managing and developing CI/CD pipelines. Experience with Microsoft Azure products and services, and proficiency in ETL processes. Experience of working with APIs to integrate data flows between disparate cloud systems. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. The aptitude More ❯

release management processes Mentor and support junior and mid-level engineers, fostering a culture of learning and excellence Ideal Candidate Profile Proven experience in data engineering, including ELT/ETL, data integration, and data warehousing Hands-on expertise with Snowflake, Azure Synapse/Data Factory, DBT Cloud, and Azure DevOps Familiarity with cloud platforms, streaming technologies, and dimensional data modelling More ❯

in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering More ❯

collaboratively across the business you’ll ensure their data is high-quality, accessible, and compliant with governance and cybersecurity standards.Key Responsibilities • Design, build, and maintain efficient data pipelines and ETL workflows.• Develop and optimise relational and non-relational database systems.• Collaborate with analysts, researchers, and IT teams to deliver tailored data solutions.• Implement and maintain data governance and metadata frameworks. More ❯

encouraging accountability, learning, and growth. Experience required Track record coaching and mentoring engineers in a Senior BI Developer role or Leadership role Strong knowledge of SQL Server, SSIS, SSAS, ETL pipelines Experience would be highly useful with PowerBI, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps Strong communication skills with the ability to bridge technical and More ❯

to write complex SQL queries Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies Data integration – ETL tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau More ❯

best practices. Familiarity with GCP data services (e.g., BigQuery, Dataflow, Cloud Composer, Cloud Storage, Pub/Sub) and their role in modern data platforms. Understanding of data architecture patterns (ETL/ELT, data lakehouse, star/snowflake schemas) and integration approaches in cloud environments. Awareness of data governance, security, and compliance frameworks (e.g., GDPR, HIPAA, RBAC) in cloud delivery settings. More ❯

on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python More ❯

robust reporting solutions using PowerBI, tailored to financial and operational requirements. Collaborate with finance and operations teams to define KPIs and reporting requirements. Build and maintain data pipelines and ETL processes to ensure timely and accurate data availability. Develop and maintain financial dashboards for executive and departmental use. Ensure data governance and accuracy across reporting systems. Experience & Technical Requirements: Experienced 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 ❯

management and communication skills. Optional/Nice-to-Have: Hybrid BA/Architect experience – capturing requirements and producing technical designs. Knowledge of Power Platform, Dynamics 365, or API/ETL integration . More ❯

understanding of modern data architecture, including robust SQL skills and database performance tuning. Experienced in orchestrating complex data workflows to manage scheduling, dependencies, and data quality in ELT/ETL pipelines. Familiarity with modern data warehouses and experience with orchestration tools. Company Overview: You’ll become part of a wider data and analytics team that’s working on some genuinely More ❯

and support. Skills & Experience: Proven OneStream administration and configuration experience. Strong knowledge of CPM/EPM concepts, financial consolidation, and planning. SQL/database skills (SQL Server preferred) and ETL/data integration experience. Familiarity with cloud environments (Azure, AWS) and multi-entity operations. Understanding of GAAP/IFRS and financial reporting processes. What’s on offer: Competitive salary and More ❯

scalable, resilient infrastructure Cloud (AWS preferred) – deploying and managing services in secure environments Security Engineering & Access Control – designing secure architectures and managing sensitive access Data Engineering – working with pipelines, ETL, data modelling and integration Why Join? Be part of a mission led team driving innovation in defence, public safety, and national security Work with the latest technologies including Palantir Foundry More ❯