26 to 50 of 382 Databricks Jobs in the UK

solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc More ❯

effect change to achieve common goals. Proficiency in the design and implementation of modern data architectures (ideally Azure/Microsoft Fabric/Data Factory) and modern data warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data More ❯

challenges. Culture builder, driving continuous improvement and operational excellence. Deep expertise in data compliance frameworks, cost management, and platform optimisation. Strong hands-on experience with modern cloud data warehouses (Databricks, Snowflake, AWS), SQL, Spark, Airflow, Terraform. Advanced Python skills with orchestration tooling; solid experience in CI/CD (Git, Jenkins). Proven track record in data modelling, batch/real More ❯

Skilled in team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme More ❯

data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language More ❯

Senior Databricks Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary of £60,000 - £70,000 per annum. About the role: As our Senior Databricks Engineer, you will operate within … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives into … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Engineer: Significant years of Databricks experience, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with More ❯

Senior Databricks Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Engineer to join our team. You will join us on a full time, permanent basis and in return, you will receive a competitive salary of £60,000 - £70,000 per annum. About the role: As our Senior Databricks Engineer, you will operate … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives into … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Engineer: Significant years of Databricks experience, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with More ❯

CD and testing practices for data workflows Troubleshoot issues and continuously improve data infrastructure Explore AI-driven enhancements to boost data accuracy and productivity Requirements: Strong experience with: Azure Databricks, Data Factory, Blob Storage Python/PySpark SQL Server, Parquet, Delta Lake Deep understanding of: ETL/ELT, CDC, stream processing Lakehouse architecture and data warehousing Scalable pipeline design and More ❯

Query (M query language) and DAX.- Management of Power BI datasets, workspaces and the associated security requirements. - Familiarity with Power BI Premium capabilities, Power BI Rest APIs, Python and Databricks will be highly regarded.- Extensive experience designing and developing reports and performance metrics from complex and disparate platforms Nice to have - Experience with Azure- Risks trading system development experience.- Business More ❯

leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and resolve data issues, recommending fixes and improvements. • Collaborate with underwriters, actuaries, and operations teams to embed insights More ❯

leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and resolve data issues, recommending fixes and improvements. • Collaborate with underwriters, actuaries, and operations teams to embed insights More ❯

experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes with excellent benefits to support your well-being and career growth. KEYWORDS Principal Geospatial Data Engineer, Geospatial, GIS, QGIS, FME, AWS, On More ❯

technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Here’s a taste of the perks we roll out for our extraordinary team members: 25 Days of Holiday, plus 8 Bank Holidays: We More ❯

technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Here’s a taste of the perks we roll out for our extraordinary team members: 25 Days of Holiday, plus 8 Bank Holidays: We More ❯

with hands-on experience in relational and dimensional data modelling. Modern Data Engineering: Proven ability to design and deliver scalable solutions using tools like Microsoft Fabric (strongly preferred), Synapse, Databricks, or similar. Supporting Know-How: Solid grasp of data architecture, governance and security. DevOps & Cloud Fluency: Practical experience with CI/CD pipelines, APIs, and cloud tooling (e.g. Azure DevOps More ❯

with SQL and large-scale datasets Excellent communication skills and ability to present complex ideas to non-technical stakeholders Experience with cloud platforms (AWS, GCP, Azure) and tools like Databricks, Snowflake, or BigQuery Desirable Skills Familiarity with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience More ❯

production environments Demonstrated ability to translate ambiguous business problems into scalable, production-ready data science solutions Hands-on experience with cloud platforms (AWS, GCP, Azure) and tools such as Databricks, Snowflake, and BigQuery Exceptional communication and stakeholder management skills, with the ability to influence decision-making across technical and non-technical teams Desirable skills Familiarity with real-time model serving More ❯

investment team on tech delivery Strong understanding of Python, with libraries/frameworks such as Pandas, NumPy, and PySpark Strong understanding of distributed computing, with experience using frameworks like Databricks Strong experience with Azure or other cloud platforms (AWS) Strong experience building data pipelines or ETL tools and Orchestration frameworks such as Airflow Strong experience and appreciation of CI/ More ❯

documentation and knowledge sharing including data flow/mappings, data dictionary, ERD related to the data solutions. Minimum Criteria: Building scalable data pipelines, utilising Azure Data Factory, Synapse and Databricks to build and maintain robust data pipelines that process and transform data efficiently. Experience with large data migration (essential) Designing data models: Creating and optimising data models, writing complex SQL More ❯

security terms and models: NIST, ISO/IEC 27001, OWASP, MITRE ATT&CK for Cloud Enterprise. Proven ability to build relationships and propel momentum with clients and stakeholders. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data … Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the … needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals More ❯

such as private endpoints, Firewalls, NSGs, NAT gateways and route tables. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple Should this position be of interest please submit your CV and I will More ❯

merchandising Proven ability to manage multiple projects simultaneously Strong stakeholder engagement and communication skills Essential technical skills: SQL, Power BI, Power Automate Preferred experience: A/B testing, Python, Databricks (especially for manager role), ETL/ELT pipelines, data modelling (marts, dimensional models), Git/version control Experience in pricing analytics and Mastercard Test & Learn platform is a bonus Details More ❯

via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. More ❯

via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. More ❯

on-prem Analysis Services to the cloud, moving our WMS, ERP and bespoke apps to scalable platforms, and expanding AI/ML initiatives. We are evaluating both Fabric and Databricks as a potential strategic fit. As our hands-on Data & Analytics Engineer, youll play a key role in shaping and influencing that decision, helping assess the best platform for our … ownership across tooling, standards, engineering and enablement rather than being confined to a narrow BI silo. Key Responsibilities Data Platform Build-out Design relational & Lakehouse schemas in Fabric or Databricks Lead the re-architecture of SSAS cubes to modern Lakehouse models Set up medallion architecture and govern data pipelines. Contribute to the evaluation and selection of data platform architecture based … dimensional modelling, 3NF) Experience designing and building modern data pipelines and Lakehouse architectures Hands-on experience with at least one enterprise-grade data platform (e.g., Microsoft Fabric, Azure Synapse, Databricks, or equivalent) Proficiency in ELT/ETL development using tools such as Data Factory, Dataflow Gen2, Databricks Workflows, or similar orchestration frameworks Experience with Python and/or PySpark for More ❯