1 to 25 of 193 ETL Jobs in London

Understanding of Direct Lake semantic modelling design considerations (model creation, table choices, and enforcing access rules). Proven experience with ingestion and transformation patterns (ETL/ELT concepts), data modelling, and delivering analytics-ready datasets. Ability to implement approaches that improve delivery reliability: data quality checks, monitoring, and operational feedback ...

deliver robust data solutions that support operational and strategic objectives. This role requires active Security Check (SC) clearance Key Responsibilities Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data sources. Build scalable data ingestion and transformation frameworks using cloud-native and on-premise technologies. Develop and ...

future of the organisation's data platform. What You'll Be Doing Develop, maintain, and optimise data pipelines and data models Design and build ETL/ELT processes integrating data from multiple sources Create high-quality, governed datasets to support business reporting and analytics Develop solutions using Microsoft Fabric, Azure ...

platforms, platform architecture, and analytics within large, complex organisations. Strong hands‐on expertise across: Modern data stack & DataOps (Snowflake, Databricks). Platform architecture & engineering (ETL/ELT, modelling, warehousing). Cloud platforms (AWS, Azure, GCP). Programming (SQL essential, Python, Spark, Java/Scala). Data governance & security (including GDPR ...

deliver robust data solutions that support operational and strategic objectives. This role requires active Security Check (SC) clearance. Key Responsibilities * Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data sources. * Build scalable data ingestion and transformation frameworks using cloud-native and on-premise technologies. * Develop and ...

Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge of Databricks security: RBAC, IAM, encryption Excellent analytical ...

data platforms (Azure SQL, AWS RDS, Snowflake, BigQuery). Write and optimise complex SQL, including stored procedures, functions, views and performance‐tuned queries. Develop ETL/ELT logic using SQL‐based approaches and frameworks. Contact Centre data expertise Work with ACD, IVR and routing datasets. Define and validate Contact Centre ...

Synapse, Azure Data Factory, and Azure Fabric. Developing and fine-tuning PySpark notebooks to efficiently manage large-scale data workloads. Implementing, troubleshooting, and enhancing ETL/ELT workflows in Azure Synapse and Microsoft Fabric. Managing and organizing Data Lakes for seamless data access and high performance. Integrating AI/ ...

test progress, risks, and readiness to senior stakeholders. Ensure compliance with audit requirements and drive continuous improvement. Required Skills Strong background in data testing, ETL validation, and data migration. Hands-on expertise with cloud-based data platforms (Azure Data Factory, Databricks, Delta Lake). Advanced SQL skills for complex query ...

Databricks and Spark Strong understanding of data modelling (3NF, dimensional modelling, star/snowflake schemas, data vault concepts) Experience designing and operating ELT/ETL pipelines Familiarity with data quality frameworks, SLA monitoring and lineage tracking Experience with Snowflake and dbt Proficiency with AWS Experience with version control, CI/ ...

Data Engineer should have: Strong experience designing and building scalable data platforms in Azure. Deep expertise in Azure Data Factory, SQL, and Python for ETL/ELT pipelines Proven ability to lead, mentor, and develop data engineering teams Hands-on experience with data warehousing, modelling, and performance tuning Solid understanding ...

environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering) Experience working with large-scale structured and unstructured datasets Knowledge of AI ethics, bias mitigation, and model governance Comfortable working in Agile ...

Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into ...

Lead the architecture of modern Azure-based data platforms, including Data Lake, Lakehouse and Data Warehouse environments Drive the design of scalable data pipelines, ETL/ELT frameworks and integration patterns Establish governance, data quality and security standards across the platform Support cloud migration and legacy modernisation initiatives Provide architectural ...

Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, you’ll help shift the organisation from reactive issue resolution ...

commodities, trading, or financial markets Experience with derivatives pricing or risk systems Knowledge of Numerix or similar quant/risk platforms Understanding of ETL and data pipeline design Experience working in Agile delivery environments McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. ...

and AI into dashboard reporting Required Deep knowledge of modern data architecture. Experience within Cloud platforms (Azure, AWS, Databricks). Strong understanding of ETL/ELT, API’s and integration patterns. Strong communication and stakeholder engagement. 5years+ in data architecture or related fields. Deep understanding of Information Security, alongside privacy ...

large-scale data transformation, migration, or analytics programmes. Technical Literacy: Strong understanding of modern data stacks (e.g., Cloud data platforms like Databricks/Azure, ETL/ELT pipelines, BI tools). Ability to read/interpret data models and SQL queries to drive product decisions. Methodology:Extensive experience working ...

including data lakes, lakehouses, and data warehouses Experience working with APIs, databases, and structured/semi‐structured data Engineering & Platform Foundations Experience building scalable ETL/ELT pipelines Familiarity with CI/CD concepts, testing, and production deployments Strong focus on solution quality, maintainability, and performance Bachelor’s or Master ...

and develop scalable BI solutions, data models, dashboards, and reporting frameworks that turn complex data into clear business insights. Key responsibilities include: Building automated ETL/ELT pipelines and data models Creating dashboards and reports for senior leaders and business users Improving data quality, documentation, and governance Optimising SQL queries ...

technical direction, and gain exposure to cutting-edge cloud and data technologies. What You’ll Be Doing Designing and building scalable data pipelines and ETL solutions Working with structured and unstructured datasets across cloud environments Developing robust data engineering solutions using Python and SQL Supporting data migration, transformation, and integration ...

Engineering function, shaping architectural direction, ensuring engineering excellence, and partnering with Technology, Architecture, and Business teams across the organisation. Tech Stack SQL Oracle Python ETL Background: The bank is migrating from an on-premise Oracle estate to a modern data platform built on cloud and Databricks. This role leads ...

path to production Worked with one or more cloud platforms and services ( AWS, Azure, GCP ) Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages ...

frameworks, including Agile methodologies Exposure to consolidation and financial reporting, sales performance management, supply chain, management reporting or enterprise operational planning Experience with leading ETL tools such as Informatica, SnapLogic or Oracle Data Integrator (ODI) Working knowledge of relational database management systems, including SQL, ANSI SQL, MySQL, Oracle PL/ ...

and analytics tools including Power BI, Tableau or equivalent BI platforms used for programme performance reporting. Strong understanding of integration technologies including API design, ETL processes, data pipelines and interoperability standards relevant to controls ecosystems. Degree in engineering, computer science, project management or a related discipline or equivalent professional experience. ...