1 to 25 of 160 ETL Jobs in the City of London

Hubs, and Functions . Strong background in data modeling, data warehousing, and real-time/batch data processing . Experience implementing data integration pipelines, ETL/ELT workflows, and data transformation frameworks on Azure. Knowledge of Azure security and identity management (RBAC, Key Vault, Managed Identities, networking, and encryption) . ...

technical audiences A proactive, growth-oriented mindset, passionate about improving data accessibility and scalability Responsibility: Data Engineering & Pipeline Development: Design, build, and maintain ETL/ELT data pipelines to consolidate and transform customer success data from multiple international sources. Collaborate with Data Engineering and Platform teams to optimize data ingestion ...

delivery using Azure DevOps for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and ...

Contribute to organisational training and documentation to foster a strong data culture. What we’re looking for: Deep knowledge of data engineering principles, including ETL/ELT, data modelling, and governance. Significant experience with cloud data infrastructure (ideally Azure/Fabric). Strong SQL and Python skills. Ability to leverage ...

Data Factory, Synapse, and OneLake). Advanced proficiency in Power BI, including DAX, Power Query (M), and data modelling. Deep understanding of data warehousing, ETL, and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex ...

Azure Data Factory, Synapse, SQL Server and Power BI Solid understanding of data warehousing, lakehouse and datalake architectures Familiarity with modern data engineering patterns (ETL/ELT, medallion architecture, observability) Experience working with Apache Spark and large-scale data processing For a full consultation on this exciting new role, please ...

varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust ...

roles. Proven experience architecting solutions on at least two major cloud platforms (AWS, Azure, GCP). Expertise in data modeling (conceptual, logical, physical) and ETL/ELT pipeline design . Strong proficiency in SQL, Python, and cloud data orchestration tools . Deep understanding of data warehousing, streaming, and big data ...

and speaking for communicating requirements and development tasks/issues Hands-on experience with lake houses, dataflows, pipelines, and semantic models Ability to build ETL workflows Familiarity with time-series data, market feeds, transactional records, and risk metrics Familiarity with Git, DevOps pipelines, and automated deployment Strong communication skills with ...

Experience working within a Medallion Architecture with clear responsibility for engineering Bronze and Silver layers that support reliable downstream consumption. Advanced Python skills for ETL or ELT processes, API integration, data manipulation, and data quality enforcement. SQL proficiency with experience in schema design, performance tuning, and analytical data modelling. Proven ...

data systems. Responsibilities Design and implement data architectures using Snowflake to meet business requirements. Develop and manage Snowflake solutions, including data warehousing, ETL processes, and data modeling. Collaborate with stakeholders to understand business requirements and develop data strategies. Ensure data security, data governance, and compliance with relevant regulations. Required Skills … degree is preferred. Preferred Skills Data Strategy: Experience in developing and implementing data strategies. Data Warehousing: Knowledge of data warehousing principles and best practices. ETL: Experience with ETL (Extract, Transform, Load) processes and tools. SQL: Proficiency in SQL (Structured Query Language). Cloud Platforms: Experience with cloud platforms like ...

similar for reporting and visualization. Version Control & Automation: CI/CD pipelines, and automated testing frameworks. Data Management: Strong understanding of data modelling, ETL/ELT processes, and governance standards. A relevant degree in finance, economics, mathematics, or a related field. Strong proficiency in financial modelling and analytical tools. Experience ...

decisions efficiently. The key responsibilities will include: Design and implement data models optimized for analytics and reporting use cases. Develop and maintain ELT/ETL pipelines to transform raw data into curated datasets. Collaborate with analysts and data scientists to understand requirements and deliver high-quality data products. Optimize ...

like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing ...

Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database ...

reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect ...

strong reputation for excellence in analytics and data-driven decision-making. Description Senior Data Engineer Develop and maintain robust and scalable data pipelines and ETL processes. Optimise data workflows and ensure efficient data storage solutions. Collaborate with analytics and engineering teams to meet business objectives. Ensure data integrity and implement ...

with stakeholders to translate business requirements into technical solutions . Lead data strategy and advisory engagements , providing consulting expertise to clients. Develop and optimize ETL pipelines , data lakes, and data warehouses in cloud environments. Mentor junior team members and contribute to best practices in data science and cloud architecture. Stay ...

Deep understanding of Azure Data Platform capabilities (Data Lake, Synapse Analytics, Data Factory, Databricks, Power BI). Knowledge of data architecture principles , data modeling, ETL/ELT processes, and cloud-native solutions. Familiarity with data governance, security, and compliance in Azure environments. Project Management Proven ability to manage ...

quality reporting and analytics capabilities with a focus on performance, scalability, and intuitive self-service. Driving automation across CI/CD, testing, orchestration, and ETL/ELT workflows. Experimenting with new ideas, tools and approaches to enhance the data engineering offering. Owning and supporting critical data products, including incident response ...

Azure Functions, App Services, Azure Data Factory (ADF), Azure Databricks, Azure Synapse, Azure SQL DB/DW Data Platform Expertise: Data Lake, Data Warehousing, ETL/ELT pipelines Expertise on DevOps & Automation: Azure DevOps (CI/CD), YAML pipelines, PowerShell scripting, Terraform/Bicep for IaC Skills and knowledge ...

systems rather than churn out toy projects, this is the right environment. What you’ll be doing Building, testing, and maintaining data pipelines across ETL and ELT workloads. Helping users navigate the big data platform, ingest new data, and debug issues. Tackling complex integration challenges across structured, semi-structured, and ...

environment, enabling clean, scalable, and high-quality data delivery for analytics and reporting. Key Responsibilities Design, build, and optimise data pipelines using ELT/ETL best practices Migrate and transform data into a Databricks Lakehouse architecture Ensure data quality, reliability, and scalability for analytics and reporting Collaborate with stakeholders ...

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 ...