1 to 25 of 62 Remote/Hybrid ETL Jobs in London

Factory and Databricks Experience building dashboards and reports using Power BI or Tableau Solid understanding of data modelling and data structures Experience working with ETL/ELT processes Proficiency in Python or R for data analysis Strong analytical and problem-solving skills Ability to work with stakeholders and translate business ...

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 ...

innovation. They're investing in data to support smarter decision-making as they continue to scale. Description Databricks experience essential Design, build, and maintain ETL/ELT data pipelines supporting People Analytics use cases. Develop scalable models and schemas to integrate data from HRIS, ATS, learning platforms, engagement tools, and ...

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 ...

teams o Experience operating within agile delivery environments Data & Integration Expertise o Strong understanding of integration design patterns (REST APIs, message queues, eventdriven integration, ETL, batch processing). o Experience working with master data domains (Party, Facility, Instrument, Product, Country, Sector, Ratings). Technology & Platform Knowledge o Hands-on architectural ...

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 ...

. 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 ...

and Experience You will bring • Strong commercial experience using Power BI, including report development, DAX and data modelling • Strong SQL skills • Experience working with ETL processes and data pipelines • Experience working across the full BI lifecycle and delivering complex BI solutions • Ability to work with senior stakeholders and translate business ...

data function, they offer a place where you can make meaningful technical impact. The Role * Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment. * Build well structured data models and curated layers to support reporting and analytics. * Improve data quality, observability, governance, and ...

excited by solving complex data challenges in a high-performance environment, we’d love to hear from you. Data Engineering, Data Pipelines, ETL, Python, SQL, Spark, Databricks, Airflow, AWS, Azure, GCP, Cloud Technologies, Data Processing, Data Transformation, Data Quality, Scalable Systems, Data Applications, Data-Intensive Systems, Data Engineer, Engineering Consultant ...

Microsoft Azure platform. This role involves delivering reliable, high-performance data pipelines that support analytics and business operations. Key Responsibilities: Design and develop ETL/ELT pipelines within Azure Build scalable solutions for data ingestion, transformation, and integration Ensure data quality, reliability, and performance Collaborate with cross-functional teams ...

contributing to the successful delivery of end-to-end data engineering projects. Responsibilities Design, build and deliver data solutions using Databricks Develop and optimise ETL/ELT data pipelines using Spark, Python and SQL Build and maintain data lakes and data warehousing solutions Collaborate with stakeholders to deliver scalable and ...

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 ...

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 ...

activities for Oracle Fusion Cloud implementation. Should have knowledge of Oracle Fusion data models across multiple modules (Financials, SCM, EPM etc), strong expertise in ETL, data governance and cloud data integration tools. Your responsibilities: (Up to 10, Avoid repetition) Define and lead the data architecture strategy for Oracle Fusion Cloud ...

Lakehouse, Dataflows Gen2, Pipelines, semantic models, governance). Strong Azure engineering and integration capability across data services and cloud architecture. Expertise in data warehousing, ETL/ELT, data lakes, modelling and modern BI practices. Strong Power BI knowledge - modelling, governance, performance and best practice. Understanding of digital integration, automation tooling ...

enabling analytics and machine learning capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines using Apache Spark and Databricks Implement Delta Lake and medallion architecture (Bronze, Silver, Gold) Ensure data governance, security, and performance optimization Integrate ...

Essential Skills, Knowledge and Experience Data Architecture: data lake/Medallion architecture design (structured, curated, consumption zones) Data Platforms: AWS/Athena or Snowflake ETL/Integration: experience building integrations with Salesforce, using Python to build data transformation pipelines Delivery Tooling: sprint management via JIRA Asset management domain awareness: accounts ...

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 ...

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 ...

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 ...

backend Python, REST APIs and microservices You have a good knowledge of AWS including Amazon RedShift You have experience with PostgreSQL, DBT, data pipelines, ETL, data modelling, LLMs and agentic programming You have a good understanding of event driven systems You're comfortable working with complex, data rich environments and ...

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. ...

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 ...