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Broster Buchanan are partnered global business within the food industry with a turnover of £8Bn+ who are looking for a Fabric Data Engineer to join as they set up an exciting new project team within the group. This would suit an experienced Azure Data Engineer with good Fabric experience looking to join a new, growing team with plenty of exciting projects and cutting tech on the horizon. This will be a mostly remote role but would suit someone near Liverpool, Birmingham or London as there will be ad hoc travel into the office when required for onsite meetings, workshops etc. 1-2 times per month. A salary of £55k - £65k + 10% bonus is on offer. Responsibilities: • Help set up and deliver the future direction of strategy and approach to the management, storage and usage of data, • Collaborate with their wider technology and business teams to ensure goals and visions are aligned and achieved, • Help with setting up the data warehousing and lake processes, including collaborating with their architecture teams to figure out what that will look like, • At times, guide and mentor the junior data engineers within the team, reviewing their ideas, providing feedback and identifying their knowledge gaps to support their development, • Design, develop, and manage data pipelines using Fabric Data Factory, • Leverage Fabric Data Integration for seamless data source integration, • Implement and maintain robust data governance frameworks with Fabric Data Management, • Create and maintain interactive dashboards and visualizations in Power BI and Tableau, • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions, • Monitor and troubleshoot data processes, ensuring performance and reliability, • Document data workflows, processes, and system architecture Requirements: • Good experience with Azure technologies for Data Engineering, with 12 months or more using Fabric tools as part of real world projects, ideally through the end to end project lifecycle, • Strong experience with setting up and using big data storage solutions, including data warehouses, data lakes or data lake houses, • Able to build and demonstrate a solid understanding of the concepts of real time data streaming, batch data processing and data transformation processes, • Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python, • Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration project planned, • Any previous experience with setting up data governance and processes would be highly beneficial, • Good proficiency in Power BI and Tableau, • Strong knowledge of data integration techniques and ETL/ELT processes, • Experience with data modelling, data warehousing, and data governance best practices

Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start Role: Senior Data Engineer Location: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. Start Date: Must be able to start mid-August. Salary: £80k-£90k (Senior) | £90k-£95k (Lead) About The Role Our partner is looking for a Senior Data Engineer to join a high-impact engineering team delivering scalable data solutions for complex marketing and customer insight use cases. This is an opportunity to work on cutting-edge data pipelines, cloud-native platforms and real-time data flows in a collaborative, forward-thinking environment. You’ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities • Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark., • Design and implement robust ETL/ELT solutions for both structured and unstructured data., • Automate workflows and orchestrate jobs using Airflow and GitHub Actions., • Integrate data with third-party APIs to support real-time marketing insights., • Collaborate closely with cross-functional teams including Data Science, Software Engineering and Product., • Champion best practices in data governance, observability and compliance., • Contribute to CI/CD pipeline development and infrastructure automation (Terraform, AWS DevOps)., • Provide input into technical decisions, peer reviews and solution design. Requirements • Proven experience as a Data Engineer in cloud-first environments., • Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift)., • Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc)., • Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting., • Hands-on experience with workflow orchestration tools such as Airflow., • Strong version control and DevOps exposure (Git, GitHub Actions, Terraform)., • Familiar with data quality tools and metadata/cataloguing (e.g. Great Expectations, Unity Catalog)., • Beneficial: MarTech domain knowledge. Notable: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. You must be able to start in August. Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start

Our data platform is built using Databricks, with data pipelines written in PySpark and orchestrated using Airflow. Build scalable and maintainable pipelines in Databricks and Airflow. Deep working knowledge of Databricks (development, architecture, and operations).

Required Core Skills: Databricks, AWS, Python, Pyspark, data modelling Minimum years of experience: 7 years Job Description: Must have hands-on experience in designing, developing, and maintaining data pipelines and data streams. Must have a strong working knowledge of moving/transforming data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark. Must have hands on experience to PySpark, Python,AWS,data modelling Must have experience in ETL processes Must have hands on experience in Databricks development Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data security policies and procedures. Must have hands on experience in SQL development Excellent Communication skills & Logical thinking

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

Cyber Analytics Data Engineer | £500-£560p/day (Inside IR35) | 6 months initially | Midlands (Hybrid) Our client is looking for a Cyber Analytics Data Engineer to join a specialist team delivering advanced analytics solutions within a cybersecurity environment. This role is ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: • Strong Python development experience, • Databricks and PySpark expertise, • Experience with cloud-based data platforms (AWS, Azure and/or GCP), • Data Engineering and analytics at scale, • Apache Spark ecosystems, • Cyber Security or Security Analytics experience, • CI/CD and automated deployment practices, • Strong stakeholder engagement and communication skills You will play a key role in supproting junior team members too, whilst collaborating with a range of cyber functions. If this sounds of interest, apply now! Cyber Analytics Data Engineer | £500-£560p/day (Inside IR35) | 6 months initially | ...

Urgent Contract SAP Data Engineer - remote We are seeking an experienced SAP Data Engineer / SAP Data Architect to lead the extraction, modelling, and migration of SAP data into our cloud data lakehouse environment. This role is critical to meeting a hard deadline to decommission our current system by December, and requires deep expertise in SAP data structures, ODP/CDC extraction, and modern Medallion-style architectures. Role: Contract SAP Data Engineer The successful candidate will take ownership of the SAP ingestion workstream, stabilise the current approach, and deliver a scalable, production-ready data platform that transitions into a managed service post-migration. Key Responsibilities for SAP Data Engineer Lead SAP data extraction using ODP/ODQ, CDS Views, SLT, or equivalent SAP-native frameworks. Design and implement Medallion-aligned data pipelines (Bronze/Silver/Gold) in our cloud data lake or lakehouse (Azure/AWS/GCP/Databricks/Snowflake). Assess and remediate the current third-party implementation, identifying blockers and accelerating delivery. Define the SAP data model strategy, including prioritisation of modules (FI/CO/MM/SD/PP etc.) required for December cutover. Build scalable inges...

Global Alliances Sales & Originations Executive - Snowflake. You will accelerate growth on Snowflake, IBM or Databricks alliances, focus on major accounts, and target priority sectors to capture the end‑to‑end multi‑alliance transformation opportunity, positioning EY as market leaders in the n

Cyber Security training courses is looking for a Head of Data Engineering in Birmingham. This leadership role involves overseeing approximately 30 engineers, ensuring high-quality delivery and aligning engineering outcomes with business goals. The successful candidate will have a strong Data Engineering background with leadership experience, especially with SQL Server, Azure, and Databricks. The position offers a salary up to £110,000 and remote-first working opportunities. #J-18808-Ljbffr

£95,000 - £110,000 We are recruiting a Head of Data Engineering to lead the Data and Software Engineering capabilities of our client during a critical period of growth. They are looking for someone who can join the leadership team and make a significant strategic impact. This is a hands‑off leadership position, focused on engineering management, delivery, and governance rather than day‑to‑day technical contribution. The successful candidate will have a strong Data Engineering background with experience working with Microsoft technologies both on‑premise and a cloud environment. You will play a key role in shaping engineering direction, ensuring high‑quality delivery to the business and building a scalable engineering function capable of supporting large, regulated programs. • Provide overall leadership for Data and Software Engineering functions, overseeing the management of approximately 30 engineers, • Own engineering delivery, quality and standards across multiple squads, • Act as a senior technical leader capable of constructively challenging engineers and technical decisions, • Ensure engineering outcomes align with business goals and regulatory requirements, • Lead and develop management capability within engineering teams, • Oversee teams based both in the UK and offshore, • Champion strong engineering governance, delivery discipline and continuous improvement, • Proven experience in a senior engineering leadership role (Head of Engineering, Head of Data, or similar), • Strong Data Engineering background with exposure to SQL Server, Azure or Databricks, • Experience leading multi‑team engineering organisations, • Strong delivery focus within regulated or complex environments, • Ability to operate as a senior leader rather than a hands‑on engineer, • Salary of up to £110,000, • Permanent role with long‑term progression opportunity, • Remote‑first working with limited office requirements (West Midlands) for team workshops, • Clear progression pathways #J-18808-Ljbffr

Head of AI & Data – Chief Data Office London – Hybrid | £140,000 - £150,000 + up to 45% bonus + 15% car allowance VIQU is recruiting a Head of AI & Data to build and lead the UK AI capability from the ground up. This is a hands-on, strategic leadership role within the Chief Data Office, reporting into the Director and working closely with both UK and global stakeholders. The role offers the opportunity to define AI strategy, build a Centre of Excellence, and deliver impactful data-driven initiatives across the business. Key Responsibilities Develop and execute the UK AI strategy, aligned with business and global priorities. Build and scale an AI team and Centre of Excellence, mentoring and growing talent. Lead the design, development, and deployment of machine learning models into production. Establish AI governance, standards, and ethical frameworks to ensure responsible AI adoption. Enable innovation through sandbox environments, tooling guidance, and accelerators. Influence and collaborate with senior stakeholders to translate AI into measurable business value. Drive data-centric AI initiatives, ensuring compliance and alignment with enterprise architecture. Collaborate with global AI teams to align strategy, frameworks, and best practices. Key Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10 / 0–15). Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards. Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives. Collaborative, adaptable, and able to navigate complex stakeholder environments. To apply: Please reach out via LinkedIn to Noah Yeoman or apply via the VIQU website. Know someone suitable? You could earn up to £1,000 if your referral is successful (T&Cs apply)

Data Analytics Engineer | Power BI | SQL | Hybrid Location: Hybrid / UK Salary: Competitive + Benefits A fantastic opportunity has opened for an experienced Data Analytics Engineer to join a growing data and analytics team within a large UK organisation. This role is ideal for a technically strong Data Analytics Engineer who enjoys both building impactful Power BI reporting solutions and developing the robust data infrastructure behind them. This is a hybrid role combining Power BI development, data engineering, SQL development, and stakeholder engagement, making it ideal for someone who enjoys delivering end-to-end analytics solutions. The Opportunity As a Data Analytics Engineer, you will play a key role in developing business-critical reporting and analytics capabilities across multiple operational teams. You'll design scalable reporting solutions, improve data quality, and help stakeholders make informed, data-driven decisions. Key Responsibilities Design, develop, and maintain Power BI reports, dashboards, and semantic models Build engaging, intuitive dashboards tailored to business requirements Develop DAX measures and optimise reporting performance Create and maintain SQL-based data pipelines and reporting datasets Transform and model complex data for scalable analytics solutions Ensure data accuracy, consistency, governance, and reporting reliability Maintain clear documentation around data lineage and reporting definitions Collaborate with stakeholders across Finance, HR, Operations, and wider business teams Support users with reporting insights and interpretation of data Skills & Experience Required Essential Skills Proven experience as a Data Analytics Engineer, BI Engineer, Data Engineer, or Power BI Developer Strong Power BI development experience Advanced SQL / SQL Server skills Strong understanding of data modelling and transformation Experience building reporting datasets and scalable analytics solutions Strong analytical and problem-solving skills Ability to work independently and collaboratively in a fast-paced environmentDesirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL / data integration tool experience API integration experience Python scripting / automation knowledge Experience working with complex or regulated datasets Understanding of data governance frameworks What's On Offer? Hybrid working Competitive salary package Opportunity to work on modern data and reporting projects Exposure to enterprise-scale analytics environments Collaborative team culture Strong long-term career development opportunities Why Apply? This is an excellent opportunity for a Data Analytics Engineer who wants to take ownership of impactful analytics projects while working across both reporting and data engineering disciplines. If you're looking for your next Data Analytics Engineer opportunity, click apply now

Our client, an established catering and food service company, is currently recruiting a PowerBI Developer to join their PowerBI Development team. The PowerBI Developer will be responsible for end-to-end Power BI development, complex DAX, star-schema modeling, and Power Platform workflows using SQL and Databricks. Key Responsibilities for the PowerBI Developer: Designing and developing Power BI solutions (semantic models, reports, and dashboards - that serve real business needs across multiple areas of the organisation) Writing complex DAX, building star schema data models, and optimising solutions for performance and usability Managing your own projects end‑to‑end, from requirements and scoping through to deployment and support Using deployment pipelines and version control to manage environments and releases properly Building Power Apps and Power Automate flows that extend Power BI into practical business workflows Skills Required for the PowerBI Developer: Solid proven background in PowerBI Development and Data Bricks Strong DAX skills, including time intelligence and advanced calculations that go beyond the basics) Solid understanding of data modelling (star schemas, dimensional design, and how to build models that perform at scale Experience with Power Query (M) and SQL for data transformation and preparation Working knowledge of Power Apps and Power Automate for building integrated platform solutions Strong communication skills Please apply as directed

Enterprise Data Architect Birmingham (Weekly on site) Up to £85,000 + bonus + generous pension The organisation are undergoing a major digital and data transformation and are hiring a Enterprise Data Architect to lead the design of their new data platform. This is an exciting opportunity to join a growing company where you can influence and shape an enterprise level transformation. Key Responsibilities of the Data Architect: Own and shape the enterprise data architecture vision, strategy and maturity roadmap. Design the end-to-end data platform, including data models, data lakes, warehouses and integrations. Define data standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry and enable secure data sharing. Requirements Proven experience as a Data Architect, having previously shaped or matured an organisation’s enterprise data landscape. Experience within a regulated industry (e.g. utilities, finance, defence). Broad knowledge of modern data platforms (AWS, Azure, GCP, Snowflake, Databricks). Strong data modelling expertise. Comfortable working through ambiguity and able to communicate architectural decisions at a senior level. Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the (url removed) Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment

Strong Databricks experience, ideally within migration or modernisation initiatives. Technical Data Analyst - Databricks Migration. Leading Insurance business is looking for an experienced Technical Data Analyst to join a major data transformation programme, supporting the migration of data platform

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national orig

Maxwell Bond is looking for an experienced Data Architect to shape and deliver Databricks-based platforms.

A leading data and AI company based in London is seeking a Technical Advisor to engage with senior stakeholders in the startup ecosystem.This role involves building relationships with CTOs and VPs of Engineering while driving awareness of the company's offerings.The ideal candidate has over 10 years

The ideal candidate will have experience with team leadership, Databricks or Snowflake, and modern cloud platforms like AWS, Azure, or GCP.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national orig

Alvarium Talent is seeking a Databricks Architect to lead the design of scalable data architectures using the Databricks Lakehouse platform. The role offers the opportunity to influence enterprise data strategies and requires proven experience with Databricks architectures, Spark, and data governanc

Solutions Architect to join their Lakebase team.This role focuses on enhancing product market fit and driving revenue growth while collaborating with account teams on strategic engagements.Candidates should have over 10 years of OLTP expertise and be proficient in SQL and Python, with experience in

Drive best practice across Databricks and modern data platform delivery. If you’re an experienced Data Solution Architect with strong Databricks expertise and are looking to work on large-scale cloud and data transformation programmes, we’d love to hear from you. Data Solution Architect - Databr

Databricks is seeking a Lakewatch Sales Specialist to help security teams modernise their SIEM with an open, agentic platform that unifies security, IT, and business data for AI-driven detection and response. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone

Develop and execute a strategic account plan aligned to customer business objectives, industry dynamics, and Databricks' growth goals. Do you want to help solve the world’s toughest problems with big data and AI? This is what we do every day at Databricks. You will work closely with their key stak

Lead tri-party collaboration between Databricks, Accenture/Avanade, and Microsoft to maximise Azure-aligned investments and market impact. Incubate and scale differentiated joint industry solutions, accelerators, and managed services built on the Databricks Platform. Databricks is seeking a strategi

This role demands proven leadership in data engineering with strong skills in Python and Databricks.

Join Databricks to help shape its crucial UKI business segment.

Databricks is looking for a sales leader in Greater London to lead their Enterprise Named and Strategic Account Executive team.

Aimpoint Digital is seeking a fully remote Databricks Solution Architect to engage with clients and help shape the future of AI on Databricks. The ideal candidate possesses extensive consulting experience, strong communication skills, and deep expertise in Databricks.

Own and scale the Databricks–Accenture alliance across EMEA, aligning regional execution with global strategy and driving measurable consumption growth. Incubate and scale differentiated joint industry solutions, accelerators, and managed services built on the Databricks Platform. Databricks is th

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national orig

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. You will be the face of Databricks at relevant events, building strategic relations

Design and deploy Azure Databricks using secure, enterprise patterns. Configure Databricks workspaces, clusters, and policies aligned with cost and security guardrails. Define "how to use" and "how not to use" Databricks.

A leading data analytics firm is looking for a Go-to-Market Leader for EMEA Financial Services to drive strategy and growth in Banking, Payments, and more.This position requires at least 10 years of executive experience in Banking and comprehensive knowledge of European regulations.The role includes

Director, Lakebase Sales Specialists to lead a regional team focused on growing the Databricks Lakebase business.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. Lead multi‑year, multi‑team initiatives that shape how Databricks enforces Unity C

Cyber Security training courses seeks a Databricks Data Architect to enhance their pre-sales and practice growth efforts. You will own solution architecture for Databricks Lakehouse platforms while guiding clients through their data and AI strategies. The ideal candidate should possess significant p

Databricks is seeking a highly skilled Senior Staff Software Engineer to join their backend team in Greater London. Databricks offers comprehensive benefits and values diversity and inclusion as part of their company culture.

Go-to-Market Leader for EMEA Financial Services to drive strategic growth.This role involves managing executive relationships and developing comprehensive sales plans for the Banking, Capital Markets, and Insurance sectors.The ideal candidate will have over 10 years of executive experience in Bankin

This transformative role requires expertise in Databricks and AI engineering, focusing on comprehensive architecture leadership and stakeholder collaboration.

Architect and implement Databricks Lakehouse solutions end‑to‑end. Optimise Databricks performance, security, and cost efficiency. Databricks certifications highly desirable.

With Databricks now largely established and legacy pipelines approaching consolidation, the priority has shifted toward connecting the data platform with core business systems, particularly Salesforce. This is a high-impact, cross-functional role positioned between a well-established Databricks team

Databricks is seeking a Global Account Manager based in Greater London, England, to lead relationships with major pharmaceutical and biotechnology organizations. The successful candidate will collaborate with internal teams and cloud partners to ensure successful adoption of Databricks solutions, an

Engineering Manager for Lakebase Storage to enhance its data and AI infrastructure platform.The role involves driving development for mission-critical services and facilitating a high-performing engineering team in London.Successful candidates will have experience in building storage systems, team l

Synapri is seeking a professional to design and implement a secure Azure Databricks platform in a hybrid working pattern. Key responsibilities include deploying Azure Databricks, implementing security measures, and providing governance across data platforms. Essential skills include Azure Databricks

Cyber Security training courses is seeking a Senior Data Engineering Manager in Greater London to lead three separate Data Engineering teams.This role emphasizes strategy, people management, and technical judgement, while advocating for a healthy work-life balance.The position offers a salary up to

Databricks is seeking a Strategic Account Executive in Greater London to manage large enterprise accounts and drive revenue growth through strategic relationships.