1 to 25 of 65 ETL Jobs in Central 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 ...

and maintaining high-performance data pipelines ingesting structured and unstructured datasets from a variety of internal and external sources. Developing ingestion processes including scrapers, ETL pipelines, crawlers, streaming jobs, and services. Cleaning, transforming, and enriching datasets to ensure high quality and usability across analytics and trading use cases. Designing storage ...

tuning and optimisation. Solid understanding of data ingestion frameworks and modern integration methodologies. Expertise in data architecture and data modelling principles. Proven experience in ETL/ELT processes and pipeline development. Deep knowledge of Azure cloud services within a data engineering context. Experience implementing and managing CI/CD pipelines ...

collaborative environment where data is seen as a strategic asset and where new ideas are encouraged. The Role • Develop and maintain scalable ELT and ETL pipelines using Azure Data Factory and Databricks. • Build and optimise transformation logic in Databricks using Python, SQL and Spark. • Model datasets across Bronze, Silver and ...

Revit, Revit API, pyRevit, Rhino, Grasshopper, IES VE (and its Python API), BIM data standards (IFC, COBie) Cloud & Infrastructure: AWS/Azure, Git, Ansible Extract, Transform and Load (ETL) Responsibilities Key responsibilities of the role In addition to the core technology listed above, this role will involve: Designing and implementing ...

patterns. Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management. Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases and architectural choices. Knowledge of data visualisation good ...

enablement across the business. 🌐 What You’ll Do 🏗 Data Platform Architecture & Strategy Define and evolve the data architecture roadmap Design scalable ELT/ETL frameworks using DBT and cloud data warehouses Establish orchestration standards (Dagster or equivalent) Drive decisions across batch, streaming, and real-time pipelines Champion data modelling standards ...

. The right person will be comfortable sitting between data engineering and security/IAM teams . What youll be doing Build and maintain ETL/ELT pipelines using Azure Data Factory, Databricks and SQL Server Develop and support data models, reporting layers and curated datasets for IAM/access ...

practices. Key Responsibilities Design and maintain scalable data architectures across Snowflake and Databricks Lead schema design, dimensional modelling, and SQL performance optimisation Build robust ETL/ELT pipelines Develop resilient API ingestion workflows Implement data quality frameworks and enforce data contracts Build CI/CD pipelines and automated testing ...

and financial systems. Create management dashboards for global leaders, agency heads and account teams to support proactive decision making. Develop reliable data pipelines and ETL processes to deliver accurate, timely and secure data. Define and deliver a scalable data strategy aligned with growth plans and PE value creation priorities. Recruit ...

need to thrive? A degree in IT, Computer Science, Maths or a related discipline, with 3+ years experience across BI, data warehousing, data management, ETL and database technologies Strong hands-on experience building and optimising data pipelines using Python, SQL, Apache Spark, and Microsoft SSIS Proven ability to design, deliver ...

with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It Work on meaningful data challenges that directly ...

Platform (ADF, ADLS, Synapse) Be hands-on in development, debugging, optimization, and production support of data pipelines Work with or extend existing/proprietary ETL frameworks (e.g., Mar's Simpel or similar) and improve performance and reliability Implement data modeling, transformation, and orchestration patterns aligned with best practices Apply data ...

with containerisation and orchestration (Docker, Kubernetes) Experience with CI/CD pipelines and DevOps practices Strong understanding of databases and data pipelines (SQL, NoSQL, ETL systems) Experience working with large-scale datasets ...

including target architecture, data models, security, and governance frameworks. Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration process. Optimize Spark workloads ...

organisation through training and internal champions Ensuring GDPR compliance and robust data security controls throughout Essential Experience: Solid, hands-on understanding of data warehousing, ETL/ELT processes, data modelling and Medallion architecture Experience managing vendors delivering hosted or managed data warehouse solutions Ability to design and implement governance frameworks ...

operating within retail banking or financial services environments Deep understanding of data warehousing principles and modelling techniques Advanced SQL expertise and practical experience with ETL/ELT processes Experience working within AWS cloud environments A track record of delivering successful Snowflake migration programmes Confidence engaging with business users and translating ...

and ready for business-as-usual handover. Required Skills & Qualifications: Proficient in Python, Scala, and SQL. Extensive experience in data modelling and ELT/ETL processes. Strong hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, Composer, and Cloud Run/App Engine. Familiarity with ...

including governance of KPIs/metrics to prevent drift. Expert understanding of data integration and pipeline architecture, with strong technical knowledge of ELT/ETL tooling and MPP, columnar, cloud‐native databases (ideally Snowflake). Strong experience defining Solution Architecture patterns for analytics and ML solutions that consume data products ...

Extras: Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis. ...

driven transformation across critical UK industries. Core Responsibilities Design, build, and optimise data pipelines using Azure Data Factory, Synapse, and Databricks Develop and maintain ETL/ELT workflows to ensure high data quality and reliability Collaborate with analysts and AI engineers to deliver robust and reusable data products Manage data … and modern data pipeline design Hands-on experience within Microsoft’s Azure ecosystem, with an interest in emerging technologies such as Fabric, AI-enhanced ETL, and real-time data streaming Proven ability to lead technical workstreams and mentor junior team members A strong alignment with the organisation’s IDEAL values ...

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 ...

and security standards. Skills Required: Previous experience in a data role. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Knowledge of ETL processes and data warehousing concepts. Strong analytical and problem-solving skills. Strong presentation skills, both written and verbal; able to describe complex technical problems ...

data pipelines, including troubleshooting incidents, conducting root cause analysis, managing SLAs, and improving resiliency across business-critical data feeds. Requirements: SQL Python/Bash ETL/ELT support Workflow orchestration (Airflow or Dagster) AWS data services (Athena, S3, MWAA, Iceberg) Data quality monitoring & incident management Nice to Have: Airbyte ...

Engineer Strong development skills in Python Advanced SQL skills with experience working on complex datasets Experience with core data engineering tools and technologies (e.g. ETL/ELT pipelines, data warehouses, orchestration tools) Strong understanding of data modelling, data quality, and performance optimisation Desirable Experience Experience with Palantir (Foundry, Gotham) Willingness ...