1 to 25 of 130 Permanent ETL Jobs in London

with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data warehousing concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity ...

Data Engineering role delivering data solutions within complex environments Hands-on experience with Microsoft Fabric and modern cloud-based data platforms Strong background in ETL development, data integration and pipeline engineering Advanced SQL/T-SQL development skills Experience designing and implementing data models for reporting and analytical requirements Experience ...

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 ...

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 ...

and supporting Microsoft D365 solutions, Microsoft Power Platform solutions and Microsoft Data solutions (Data Lake, Data Factory, Data Warehouse) MS SQL DB, TSQL language, ETL, SSRS, SSIS Experience Dataverse, Common Data Services, Synapse Experience Strong communication skills with a proven ability to understand key concepts and communicate effectively with technical ...

engineers while remaining hands-on with solution delivery. What You'll Be Doing: Designing and building enterprise-scale data platforms using Databricks Developing robust ETL/ELT pipelines to ingest and transform data from multiple sources Creating scalable lakehouse solutions and data models for analytics and reporting Optimising platform performance ...

pragmatic view of when to build, when to buy and when to leave it alone. Key Responsibilities Design, build and operate production ELT/ETL pipelines that move data reliably at the volume and latency the business needs Model data in the warehouse or lakehouse—dimensional, Data Vault ...

analytics or data solutions roles. Strong understanding of data structures, reporting workflows and dashboard development. Working knowledge of data engineering concepts, including data modelling, ETL/ELT, data pipelines, APIs and cloud‐based data platforms. Experience working with modern data stacks such as Snowflake, BigQuery, Databricks, Azure. Experience with visualisation ...

experience strongly preferred Experience rationalizing multi-ERP environments Hands‐on understanding of Power BI, modern data platforms (Microsoft Fabric, Snowflake), data integration patterns, APIs, ETL/ELT processes Programming and data manipulation skills (Python, SQL) Data & Analytics Strong experience building and scaling data architectures and platforms; end-to-end data ...

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 ...

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 ...

data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics . Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs. Collaborate with ...

metadata, lineage, and reconciliation layers.* Validate Snowflake data lake and data warehouse outputs against source systems, business rules, transformation logic, and reporting requirements.* Test ETL and ELT processes, dbt models, SQL transformations, data mappings, aggregations, reference data, and downstream Power BI outputs.* Apply data quality checks covering accuracy, completeness, consistency ...

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, youll help shift the organisation from reactive issue resolution ...

following areas: Azure Integration Services, Logic Apps, Function Apps, API Management or Service Bus REST APIs and systems integration SQL Server, data flows, ETL, reporting or database development Power Platform, Power Apps, Power Automate, Power BI or Microsoft Fabric C#/.NET application development Good understanding of application architecture, troubleshooting ...

data focused components to use for which purpose.Microsoft certified architectDatabricksDesign and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data ...

highest levels. Job Responsibilities Data Engineering Own the architecture, quality, and scalability of Proximie's data platform. Lead the team building and maintaining ETL/ELT pipelines, data warehousing, and analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue ...

and Cloud Data Warehouse. Ability to work with large datasets, and knowledge of data manipulation, interrogation, transformation and import procedures. Experience with data loading, ETL/ELT concepts and Big Data tools. Possesses a high-level of analytical skills, process automation, problem solving and attention to detail. Formal education ...

data modelling and SQL Server/database design expertise. Experience designing modern Microsoft data platforms, ideally Microsoft Fabric or Databricks. Strong understanding of ETL, Azure Data Factory, data warehousing and Lakehouse architectures. Background within Financial Services, with exposure to investment data highly desirable. Excellent stakeholder management skills with the ability ...

machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud environments Knowledge of data engineering principles including ETL processes, data pipelines and automated workflows Experience working with structured and unstructured data Understanding of MLOps tooling and best practices Knowledge of data governance, security ...

requirements. Proficient use of enterprise data platforms, semantic models and dimensional modelling (star schemas, fact/dimension tables). Proficient in data architecture principles, ETL processes and data pipeline concepts. Experience with data cataloguing tools, SQL for data validation and analysis, and familiarity with data visualisation tools and cloud‐based ...

supporting event operations across channels. 5+ years in data architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. ...

Comprehensive knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial)* Strong understanding of modern data engineering patterns including ETL/ELT, data lake architectures, and lakehouse approaches* Understanding of emerging technologies such as open table formats (Apache Iceberg, Delta Lake), data observability tools, and ...

and reporting internal policies and documentation on, including following and creating best practice methods Documenting key information relating to processes on data work e.g. ETL pipelines, transformations, data models, integrations, workflows and similar. Analysing information in a health environment Desirable Proven experience in analysing and interpreting complex datasets and dashboards ...

querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/SQL Server environment This role offers highly competitive compensation ...