1 to 25 of 436 Permanent ETL Jobs in London

and maintain data warehouse environments, such as: Azure Synapse AnalyticsSQL Server/Azure SQL DBSnowflake or BigQuery (optional, if used in hybrid environments)Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCAInvestigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. ...

Bachelor’s or master’s degree in computer science, Engineering, or a related technical field 5+ Years of hands-on experience in data engineering, ETL/ELT development, cloud-based data solutions, or data products for analytics, automation, or machine learning Deep expertise in AWS services, including S3, Lambda, Glue ...

data governance, lineage, security, and compliance controls within modern data platforms. Experience leading architecture decisions across complex stakeholder environments. Strong understanding of data pipelines, ETL/ELT frameworks, orchestration tooling, and data engineering best practices. Familiarity with technologies such as Spark, Python, SQL, Delta Lake, Unity Catalog, dbt, Azure Data ...

initiatives, and flag risks or dependenciesTECHNICAL SKILLS & EXPERTISEStrong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelinesDashboard development: Power BI (preferred), Tableau, Grafana, or equivalent BI tools — building interactive dashboards with drill-down, filtering, and alertingExperience with on-premises ...

Business stakeholders. Data Engineering & Platforms Databricks Delta Lake Unity Catalog dbt Spark/PySpark Data pipeline development and optimisation Lakehouse architecture Data integration and ETL/ELT frameworks Data platform design and implementation Cloud Technologies AWS S3 Glue Airflow IAM Lambda (desirable) Data Modelling & Architecture Data Vault Kimball Data warehousing ...

data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps).Expertise ...

data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise ...

cloud providers (Azure, AWS, or GCP). Solid understanding of data governance, access control, and security practices in cloud environments. Experience with large‐scale ETL/ELT design and migration programmes. Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms. Demonstrated experience with cloud ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) Experience with data product thinking, domain-oriented ownership or federated operating models Understanding of data standards and industry models ...

Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect. Data Governance: Microsoft Purview; Collibra; Informatica; Security by Design; Data ...

architectural decisions, and high-quality "data mart" objects across functions like product, finance, or strategy. Pipeline Specialist: You possess extensive experience in engineering robust ETL/ELT processes and data pipelines, with a focus on curating, transforming, and publishing data. Data Governance Focused: You have solid experience in implementing data ...

foundational data systems that underlie modern AI infrastructure, including vector, NoSQL, and document databases. Develop end-to-end data engineering solutions, including robust ETL/ELT pipelines, API services, and data ingestion frameworks. Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed ...

scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands ...

APIs, returning complex data from multiple endpoints. Implement processes to retain and refresh this data within business systems. Data Modeling: Using the businesses preferred ETL tools, generate curated datasets from raw input tables. Ensure all datasets have clear, documented lineage and integrated testing to protect against bad data entering datasets ...

and Snowflake Cortex, as well as Databricks components such as Lakeflow (Connect, Pipelines, and Jobs), Delta Lake, and Unity Catalog. Strong data engineering fundamentals: ETL/ELT pipeline design and implementation, data orchestration and workflow automation, batch and streaming processing, and data modeling for analytical and operational workloads. Proficiency ...

Design and deliver enterprise-scale data solutions on cloud platforms (Azure preferred), leveraging Databricks as the core data engineering platform Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory Implement and maintain … integration development Deep expertise in PySpark for data processing and transformation Proven mastery of cloud platforms with strong preference for Microsoft Azure Expertise in ETL/ELT development and data pipeline orchestration (e.g. Databricks Workflows, DLT, ADF) Extensive experience with Git version control, GitHub collaboration workflows, and modern CI/ ...

asynchronous teams across timezones; experience in India tech ecosystem or building in resource-constrained environments; experience migrating from legacy data infrastructure (Azure ADF, traditional ETL) to modern cloud-native stacks. Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. ...

experience in some or all of the following: Data Governance Data Quality Management Data Migration Metadata Management Master Data Management (MDM) SQL and Python ETL/ELT development Databricks, Snowflake or similar modern data platforms Azure, AWS or GCP Data Warehousing and Data Modelling Stakeholder engagement and requirements gathering Agile ...

with architects, analysts, business stakeholders and delivery teams to design and build robust data solutions. Key responsibilities will include: Designing, building and optimising scalable ETL/ELT data pipelines Developing and maintaining data solutions using Databricks, Python and SQL Supporting the migration of data assets from legacy platforms into modern ...

integrating Salesforce Marketing Cloud and Salesforce CRM data. Understanding of marketing platforms, campaign metrics and digital marketing KPIs. Experience building and maintaining ELT/ETL pipelines. Knowledge of APIs and integrating third-party data sources. Experience with Looker, Tableau or Power BI. Understanding of the AdTech/MarTech landscape. Excellent ...

help shape technical solutions that deliver commercial value. Key responsibilities include: Leading and mentoring a team of three Data Engineers Designing and building scalable ETL/ELT data pipelines Developing robust SQL and Python-based data engineering solutions Working closely with Data Scientists to productionise AI models Ensuring high-quality ...

time‐series (TimescaleDB/InfluxDB), and document (MongoDB) stores used by applications Design the data ingestion and movement architecture – real‐time CDC pipelines, batch ETL/ELT patterns, and event‐driven feeds from the NATS messaging layer into Snowflake Define data domain boundaries, ownership, and lineage standards aligned with Project ...