1 to 25 of 74 Remote/Hybrid Databricks Jobs in London

pipelines Expertise in Power BI architecture and semantic model optimisation Strong understanding of modern enterprise data architecture principles Experience with data lake technologies, ideally Databricks Strong integration and interface management experience Experience operating within enterprise-scale analytics environments Technical Skills Advanced SQL/T-SQL Python for data engineering, automation ...

within the Insurance sector Strong knowledge of Life, General Insurance or Reinsurance data environments Deep expertise across Azure Data Factory, Synapse Analytics, ADLS and Databricks Strong understanding of Data Warehousing, Lakehouse architecture and modern data platforms Experience with Kimball, Inmon or Data Vault modelling approaches Knowledge of data governance, security ...

experience with SQL, Python and distributed data processing Proven experience building and operating modern cloud data platforms Experience with technologies such as Snowflake, Databricks and Power BI Strong understanding of CI/CD, infrastructure-as-code and data quality practices Solid knowledge of data security, access controls and governance Comfortable ...

across both established enterprise approaches and modern data patterns, including: Azure data systems (must have). Oracle/AWS experience is ideal. Knowledge of Databricks and Snowflake is ideal. Experience of large-scale data migration programmes. Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh and/ ...

Experience working in secure, regulated, or complex enterprise environments Exposure to large-scale data platforms or transformation programmes Knowledge of tools such as Spark, Databricks, Airflow, or similar Experience in consulting or client-facing delivery environments Security Requirements Must be a sole UK citizen Must be eligible for Security Clearance ...

5+ years' experience in BI, data engineering, analytics engineering, or technical analytics Strong SQL skills, including joins, window functions, and performance tuning Experience with Databricks, Snowflake, or BigQuery Strong data modelling experience, ideally with dbt Experience with BI tools such as Omni, Power BI, Tableau, Looker, or Sigma Strong stakeholder ...

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 ...

SAFe ·Experience with tooling such as Jira, Confluence or similar platforms ·Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python ·Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants ...

Management, or Wealth Management environments* Expertise across enterprise data architecture, data modelling, governance, and modern cloud data platforms* Experience with technologies such as Snowflake, Databricks, Microsoft Fabric, Bloomberg, MSCI, Refinitiv, Charles River, or similar ecosystems* Proven ability to lead complex transformation engagements and manage senior stakeholder relationships* Strong consulting, programme ...

modern data stack. Advanced SQL capability, including complex transformations, window functions, and performance optimisation. Proven experience working with cloud data warehouses such as Databricks, Snowflake, or BigQuery. Deep understanding of dimensional modelling techniques and tools such as dbt. Hands-on expertise with enterprise BI platforms, such as Power BI, Looker ...

distributed data architecture and orchestration Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation and window functions Experience designing star and snowflake schemas for analytical workloads Solid understanding ...

experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading ...

work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data ...

with the SQL Server platform and T-SQL 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 ...

Data Engineering or similar role Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation and window functions Experience designing star and snowflake schemas for analytical workloads Solid understanding ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across … understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse. Preferred Qualifications: Certifications in Azure, AWS, or GCP. Certifications in Databricks, Snowflake or similar technologies. Experience in the leading large scale data engineering projects. Why Joining Artefact? Build the Future of Data & AI Join ...

TensorFlow, PyTorch and scikit-learn. Experience with distributed computing and cloud platforms such as AWS, Azure Synapse or Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML). Strong commercial acumen with the ability to translate business problems into scalable, impactful solutions. A track ...

want to work in a cutting-edge company where innovation is at the heart of their culture? Do you want to learn DataBricks?, DataLake? are you excited about the cloud and AI? this hiring manager has a track record of developing and growing peoples careers! If so apply now!! Location ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

technical specs with non-engineering stakeholders. Nice-to-haves: Experience working with AWS-based data infrastructure. Experience with modern data platforms such as Spark, Databricks or Snowflake. FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will ...

teams Experience Required Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

retrieval augmented generation (RAG) architectures. * Strong knowledge of cloud platforms including AWS or Azure. * Experience with data engineering and orchestration tools such as Databricks, Airflow, Docker, and Kubernetes is desirable. * Must have previous experience working within a small to medium-sized business (SME), start-up, or scale-up environment. * Comfortable ...

Title: Platform Engineer AWS, Databricks and Unity Catalog Job Type: - Contract - Inside IR35 Location: Leeds and London - Hybrid Job Description Platform Engineer AWS, Databricks and Unity Catalog SC Eligible | Foundry experience: Desirable | Core skills: AWS, Databricks, Unity Catalog, Terraform Role Overview Support secure integration between AWS-hosted data sources, Databricks … workspaces and downstream enterprise data platforms. The role covers data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed through approved connector-based patterns. Key Responsibilities Design and support secure integration across AWS S3, Databricks and downstream data platforms. Configure least-privilege access ...

frameworks across a fast-paced global markets business. 🔹 AI Governance & Responsible AI 🔹 Capital Markets/Front Office Exposure 🔹 Data Governance & AI Readiness 🔹 Python, SQL, Databricks or ML tooling exposure preferred 🔹 Hybrid working – London 🔹 Salary up to £95k + benefits Ideal candidates will have experience within Capital Markets along with ...