South East London, England, United Kingdom Hybrid / WFH Options
Cognitive Group | Part of the Focus Cloud Group
What We’re Looking For Proven experience delivering AI and data solutions in a Microsoft Partner or specialist technology consultancy environment Strong technical proficiency across Azure Synapse , Data Lake , Databricks , Power BI , Microsoft Fabric , and relevant AI services (e.g. Azure OpenAI, ML Studio) Deep understanding of modern data architectures, data governance, and operationalisation of AI models in cloud environments Experience More ❯
City of London, London, United Kingdom Hybrid / WFH Options
twentyAI
to modern data platforms. Your Background Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. Practical knowledge of distributed processing More ❯
to modern data platforms. Your Background Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. Practical knowledge of distributed processing More ❯
South East London, England, United Kingdom Hybrid / WFH Options
twentyAI
to modern data platforms. Your Background Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. Practical knowledge of distributed processing More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Fynity
junior colleagues. You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯
junior colleagues. You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯
junior colleagues. You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯
one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer More ❯
or a PhD with 3 years experience; or equivalent experience. Proven ability to design flexible, maintainable ETL systems. Experience with data pipeline orchestration tools such as Prefect, Airflow, Argo, Databricks, or Spark. Understanding of the ML model lifecycle; prior work with scientific or ML workflows is a plus. Hands-on experience with multi-terabyte scale data processing. Familiarity with AWS More ❯
data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to More ❯
engineering roles, preferably for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in your development process A More ❯
dynamic team, with experience working with relational databases and writing SQL and Python or similar. Power BI (semantic data modelling and DAX skills). Experience in Data Lake technologies (DataBricks) and/or Dataiku. Experience with Data Science and AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. More ❯
superior verbal and written communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company where we're striving to build the More ❯
AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to talk to you if: You've got solid experience working More ❯
skills. The ideal candidate will demonstrate most or all of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in More ❯
role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Nationwide Building Society
role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Nationwide Building Society
role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯
engineering roles, preferably for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in your development process A More ❯
Haywards Heath, Sussex, United Kingdom Hybrid / WFH Options
First Central Services
practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
First Central Services
practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯
requirement, and user research to enhance efficiency. Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are key. Hands-on experience in databricks, Azure AI stack, or GCP AI stack as well as prompt programming such as DSPy. Locations: Siena, Italy - Rixensart, Belgium - London HQ, UK Please note that relocation support cannot be More ❯
We're evoke, one of the world's leading betting and gaming companies. The Group owns and operates internationally renowned brands including William Hill, 888, and Mr Green and we're looking for an experienced (London or Leeds based) Data More ❯
Press Tab to Move to Skip to Content Link Location: London Other locations: Primary Location Only Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse More ❯
Job Description - Data Warehouse Developer About Hiscox: At Hiscox, we care about our people. We hire the best people for the work, and we're committed to diversity and creating a truly inclusive culture, which we believe drives success. We More ❯