1 to 25 of 39 Databricks Jobs in the Thames Valley

hands-on experience in enterprise data engineering and Azure cloud data technologies. You must be confident working across: Azure Data Services, including: Azure Data Factory Azure Synapse Analytics Azure Databricks Microsoft Fabric (desirable) Python and PySpark for data engineering, transformation, and automation ETL/ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such as More ❯

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 ❯

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 ❯

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 ❯

machines - both Windows and Linux. Familiarity with server patching and maintenance. 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 technical and non-technical teams. What happens now? After submitting your application for More ❯

machines - both Windows and Linux. Familiarity with server patching and maintenance. * 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 technical and non-technical teams. What happens now? After submitting your application for More ❯

to learn. Technical Skills: Degree or equivalent experience in data science, analytics, or a related field. Proven experience of creating and maintaining data pipelines. Experience of Advanced Excel, Azure Databricks, Advanced SQL, working knowledge of PowerBI, and exposure to GIS. GDPR awareness and compliance. Desirable: Understanding and exposure to databases, interfaces, business systems and work force management solutions Knowledge of More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

and performance within the team. Partner with IT Operations, business stakeholders, and the wider Data & Innovation team. Skills & Experience Proven experience in data engineering and system development, especially with Databricks, Microsoft Azure, Power Platform, and M365. Familiarity with SaaS platforms like Workday and Monday.com is a plus. Strong leadership and mentoring capabilities in agile environments. Comfortable with both hands-on More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

with IT operations, business stakeholders, and the wider data and innovation function to deliver impactful solutions. Skills and Experience Extensive experience in data engineering and system development, particularly with Databricks, Microsoft technologies (Azure, Power Platform, M365), and integrations. Familiarity with a range of SaaS applications such as Workday and (url removed) is desirable. Proven ability to lead and mentor technical More ❯

with IT operations, business stakeholders, and the wider data and innovation function to deliver impactful solutions. Skills and Experience Extensive experience in data engineering and system development, particularly with Databricks, Microsoft technologies (Azure, Power Platform, M365), and integrations. Familiarity with a range of SaaS applications such as Workday and (url removed) is desirable. Proven ability to lead and mentor technical More ❯

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and More ❯

deliver impactful solutions. Act as a role model, inspiring confidence, capability, and growth within the team. Skills and Experience Strong experience in data engineering and systems development, particularly with Databricks & Azure Strong technical expertise in data integration, automation, and system design. Proven track record in leading and mentoring technical teams within agile environments. Ability to balance hands-on technical execution More ❯

deliver impactful solutions. Act as a role model, inspiring confidence, capability, and growth within the team. Skills and Experience Strong experience in data engineering and systems development, particularly with Databricks & Azure Strong technical expertise in data integration, automation, and system design. Proven track record in leading and mentoring technical teams within agile environments. Ability to balance hands-on technical execution More ❯

closely with IT Operations, business stakeholders, and the broader Data & Innovation team to deliver impactful solutions. Skills and Experience Significant experience in data engineering and system development,? in particular Databricks, Microsoft technologies (Azure, Power Platform, M365) and integrations. Experience working with a broad range of SaaS applications such as Workday and Monday.com desirable. Proven ability to lead and mentor technical More ❯

calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares about quality, ensuring data accuracy and consistency across all visualisations Confident in presenting dashboards and More ❯

reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. … are some obvious required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building More ❯