1 to 25 of 137 Permanent Databricks Jobs in London

Strong experience with Python and/or SQL in a production environment. Hands-on experience with modern data engineering frameworks such as: Apache Spark, Databricks Airflow/Prefect/Dagster Kafka/EventHub/Kinesis Experience building data solutions on at least one major cloud platform (AWS, Azure ...

Milvus) to power enterprise knowledge intelligence platforms. Data Platform & Engineering Excellence Lead the evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery. Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Opportunity We recognise “data” is broad, that’s why we’re keen ...

automation tasks. Proven ability to design, build, and maintain scalable data pipelines for batch and streaming data using modern frameworks. Experience working with Databricks for big data processing, Spark-based transformations, and collaborative analytics workflows. Familiarity with Azure Data Factory (ADF) for data orchestration and integration across cloud environments. Skilled ...

Power Platform extensibility. Qualifications & Certifications B.Tech or Equivalent degree Certifications (any subset): Azure AI Engineer/Architect , Azure OpenAI , AWS/GCP AI , Databricks ML , Kubernetes Diversity and Inclusion at Wipro We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color ...

graph databases (Neo4j) • Knowledge of networking, security best practices, IAM configuration, and secrets management • Experience supporting data pipelines, ETL workflows, and cloud data platforms (Databricks, Snowflake) • Strong experience with the set up/design/governance and security of Clean Rooms and clean room integrations • Previous experience in early-stage ...

Azure Data Engineer should have: Proven experience in data engineering within the financial services industry. Strong expertise in Azure data technologies, including Data Factory, Databricks, and Synapse Analytics. Proficiency in SQL and other data query languages. Knowledge of data modelling, ETL processes, and data warehousing concepts. Experience in working with ...

with large-scale enterprise datasets Strong analytical mindset with a focus on data quality Nice to Haves Snowflake performance tuning and cost optimisation Python Databricks End-to-end data platform architecture Enterprise BI platforms CI/CD pipelines Infrastructure-as-Code Employee Benefits £100,000 base salary + bonus Pension ...

datasets Strong analytical mindset with a clear focus on data integrity and performance Desirable Experience Advanced Snowflake performance tuning and optimisation Python and or Databricks exposure Experience designing full end-to-end data platform architectures Background supporting enterprise BI ecosystems Familiarity with CI/CD pipelines and infrastructure-as-code ...

Strong understanding of data architecture methodologies, governance, and security best practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic ...

including complex queries, optimisation, and indexing Experience working with ETL tools such as Google Cloud Dataflow, DBT, Azure Data Factory, Fivetran, or Databricks Solid understanding of data warehousing concepts , ETL/ELT pipelines, and dimensional modelling Experience building and managing cloud-based data infrastructure (GCP) Experience using Git/DevOps ...

transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience ...

would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowflake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components ...

data structures, data quality challenges, and how to design reliable transformation logic ·Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar ·Confidence working with imperfect data and making it fit for consumption downstream ·Experience supporting or mentoring other engineers through code reviews, pairing ...

Banking data domains (e.g., real-time payments, ACH, SWIFT, clearing and settlement). Hands-on expertise with modern data platforms and lakehouse architectures (e.g., Databricks, Snowflake) and cloud-native services. Strong experience with streaming and event-driven data processing (e.g., Kafka) and ETL/ELT patterns. Advanced proficiency in Python ...

ability to work with engineers, analysts and non‐technical stakeholders. Nice to have Experience with job schedulers or orchestration tools (e.g. Airflow, Databricks Jobs, similar). Exposure to cloud data platforms (AWS, GCP or Azure). Experience in a data support, application support or production operations‐style role. ...

data platforms or analytics products Experience with Spark SQL, PySpark or distributed data systems Experience with large-scale data tooling (e.g. Spark, Hive, Databricks) Cloud experience (AWS – S3, EMR etc.) Exposure to LLMs, generative AI, agentic systems or causal AI The Company High-growth AI and behavioural analytics company Enterprise ...

issues Contribute to best practices and mentor junior team members Skills & Experience Strong experience with Microsoft Azure data stack Hands-on experience with Fabric, Databricks or Azure Data Factory Strong programming skills in Python, Spark and SQL Experience working with relational databases Strong understanding of data modelling Experience building ...

Computer Science or STEM subject Comfortable working 4 days per week onsite in Vauxhall Desirable Microsoft Fabric, Azure Synapse, Azure Data Factory, Snowflake, Databricks Python or any other relevant language Experience with tools such as Power BI, Qlik or Tableau The role offers a package of £64k+, plus a bonus ...

leadership level. Experience designing and delivering scalable, production-grade data pipelines that support BI, analytics, and AI use cases. Tech wise, experience with Azure & Databricks is highly desirable. A confident communicator and stakeholder partner, able to translate technical concepts into clear business outcomes. Experience building, mentoring, and developing high-performing ...

communication skills and a collaborative mindset ⭐ Big bonus points for: ⚙️ Exposure to ML pipelines, MLOps, or production ML systems 📦 Experience with tools such as Databricks, Snowflake, or similar platforms 🔍 Familiarity with version control, testing practices, or CI/CD workflows If you’re excited about building machine learning solutions, learning ...

Spark SQL. Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). Experience with data visualisation tools such as Power BI. Strong commercial acumen with the ability to translate ...

skills at all levels. Comfortable leading iterative delivery using Agile practices. Exposure to tools such as dbt, Airflow/ADF/Dagster, Snowflake/Databricks/Fabric, and metadata/governance systems is beneficial. Ready to Lead in a Role with Real Influence? If you want ownership, visibility ...

Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management Experience with platforms such as: Azure ML, AWS SageMaker, Google Vertex AI Databricks, LangChain, Hugging Face Ability to develop architecture artefacts (HLDs, solution diagrams, delivery models) Exceptional writing, storytelling, and stakeholder engagement skills Experience in consultancy, systems integration ...

comfortable writing, reviewing, and optimising complex queries and DDL. Practical experience with at least one major cloud data platform (Azure Synapse/Fabric, Snowflake, Databricks, BigQuery, AWS Redshift) including cost and performance tuning. Desirable Experience Experience in energy trading, commodities, or financial services data environments (or Big Tech Familiarity with ...