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• Location: Portsmouth customer site – 3 days p/week on site, • Salary: Up to £90k DoE plus bonus, • Clearance: Active SC (British passport required), • To apply, email: henry.clay-davies@searchability.com We’re working with a leading technology consultancy delivering secure, mission critical digital capabilities across Secure Sector programmes. They’re looking for an experienced Databricks Data Engineer to design and build scalable, resilient data applications that support operational users, analytics platforms, and AI-enabled capabilities. This is a hands-on technical role sitting at the intersection of Software Engineering and Data Engineering, focused on building secure, production-grade data services that operate reliably within highly governed Defence environments. What you’ll be doing: • Building scalable data applications and pipelines using Python, • Developing streaming, event-driven and orchestrated data solutions, • Deploying and supporting containerised services in Kubernetes environments, • Implementing observability, monitoring and data governance best practices, • Leveraging Infrastructure as Code and CI/CD for secure deployments, • Owning solutions from design and development through to production support, • Delivering resilient data platforms within secure Defence environments What we’re looking for: • Strong Python development and software engineering experience, • Experience building scalable data pipelines and distributed data platforms, • Knowledge of Kafka, Spark and modern data processing technologies, • Experience with orchestration tools such as Airflow, Dagster or Prefect, • Hands-on experience with Docker, Kubernetes and containerised deployments, • CI/CD experience with a focus on production ownership and reliability, • Understanding of data quality, testing and lineage best practices Desirable skills: • MLOps or production machine learning experience, • Terraform, Ansible or other Infrastructure as Code tools, • PostgreSQL and modern data platforms, • Experience within Defence, National Security or regulated environments, • Familiarity with air-gapped, restricted or secure networks, • Knowledge of Google Distributed Cloud (GDC) or edge cloud technologies Security Clearance: Due to the nature of the work, candidates must hold an active SC Clearance and be a British passport holder.

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.

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

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

Own partner sales development with Snowflake + Databricks across EMEA, reporting directly to GM EMEA. Manage the relationships across Snowflake & Databricks to ensure 3rd line, 2nd line, and 1st line managers are meeting regularly with Fivetran leadership to keep momentum and close alignment on deal

Hi, we’re Smoove, part of the PEXA Group.Our vision is to simplify and revolutionise the home moving and ownership experience for everyone.We are on a mission to deliver products and services that remove the pain, frustration, uncertainty, friction and stress that the current process creates.We a

About ProvectusAt Provectus, we architect enterprise-grade AI and data solutions that transform how organizations leverage their most valuable asset – data. We combine deep technical expertise with strategic product thinking to deliver scalable, production-ready AI systems and modern data platforms.Who We're Looking ForWe're seeking a Senior Technical Product Manager with strong engineering acumen and product leadership experience to drive sophisticated AI and data platform initiatives. You bring the technical depth to engage in architecture discussions, evaluate trade-offs, and make informed decisions about complex system designs – while maintaining focus on business value and user outcomes.You're a technical translator who bridges the gap between possibility and practicality, helping clients navigate the rapidly evolving AI landscape with confidence. Your background allows you to assess technical feasibility, identify risks early, and guide engineering teams toward optimal solutions. • Architect Product Strategy for Technical Platforms:, • Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives., • Lead technical product discovery – evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases., • Design solution architectures in collaboration with data architects and engineers, making build-vs-buy decisions and technology stack selections., • Develop technical roadmaps balancing innovation, scalability, security, and time-to-value. Drive AI/ML Product Development: • Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems., • Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns., • Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments., • Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops. Manage Complex Data Platform Initiatives: • Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations., • Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns., • Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management., • Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: • Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and epic-level stories., • Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies., • Define sprint goals aligned with quarterly objectives and long-term product vision., • Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision-Making: • Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment., • Analyze trade-offs between competing technical solutions, considering performance, cost, maintainability, and developer experience., • Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing., • Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction., • Required Qualifications:, • Bachelor's degree in Technology or Business related field (Master's preferred)., • 5-7+ years of experience in technical product management, solutions architecture, or software engineering., • 5+ years in product management roles with demonstrated end-to-end product ownership., • 3-5+ years of experience with AI/ML products, Generative AI, or data platform development., • 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies., • Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies. Technical Expertise: • AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen)., • Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures., • Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery)., • MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking., • Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies., • Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: • Solution design and technical architecture capabilities., • Requirements translation from business needs to technical specifications., • Strong analytical thinking and problem-solving in complex technical domains., • Exceptional stakeholder management across technical and non-technical audiences., • Clear technical communication—documenting complex systems and presenting architectural decisions., • Risk identification, dependency mapping, and mitigation planning. Preferred Qualifications: • Prior software development or data engineering experience (3+ years)., • Background in consulting or professional services, delivering client solutions., • Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner. Personal Attributes: • Insatiable curiosity about emerging technologies and a hands-on experimentation mindset., • Close attention to detail with quality focus and commitment to technical excellence., • Collaborative team player who thrives in cross-functional environments., • Adaptable and comfortable navigating ambiguity in fast-paced consulting contexts., • Passion for mentoring engineers and elevating technical practices., • Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms., • Shape how enterprises adopt AI — from strategy to architecture to delivery., • Grow within a team building modern AI-delivery practices, tools, and frameworks., • Remote-friendly culture with strong engineering, data, and consulting partnerships.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Qliksense Developer Certain Advantage are hiring for a Qliksense Developer based in London. This role is on an initial contract till the end of the year basis and is office based The company: We’re working with a business that’s on a strong growth trajectory, backed by ambitious plans. With a commitment to innovation and excellence, they are poised to make a significant impact in the industry. The role As a Senior Analytics engineer you are a subject matter expert, who designs & builds analytics solutions and mentors junior engineers. You are also the key person to convert the Vison and Data and Analytics Strategies into IT solutions and deliver them. • Design, build and implement POCs, prototypes and full-fledged UX solutions and strategies, • Communicate with key stakeholders to drive clarification of requirements and to promote UX designs and solutions, • Expert knowledge in QlikSense & Qlik Cloud Analytics to deliver complex, fast moving datasets to high value trading teams., • Support the design, e.g., by analysing user journeys and drive towards simplification and automation, • Enable high quality & compelling story telling through creation of strong, simple to understand data visualizations, • Document technical solution design and strategy documentation, • Run quality assessments of counterparts’ design, • Adhere to the organisations Release and Change process The individual: • Expert knowledge of authoring/troubleshooting SQL/Azure/Databricks queries, • Expert knowledge and application of general and tool specific connectivity, data modeling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout optimization, mobility, scripting and integrating advanced analytics, • Knowledge of upcoming trends in tools and technology, • Gas/Power Trading knowledge - Short-term trading, physical assets trading (CCGT, Wind, Solar, Battery), • Risk - Modelling & understanding of risk & risk management., • Commodity Modelling - Energy (power, gas, environmental products) and meteorology., • Skilled at one of the following secondary visualization tools - (at least one of the following – (1) Power BI and Azure Analysis Services (AAS), (2) Spotfire, (3) SAP Analytics Cloud) Does this sound like your next career move? Apply today. Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to certainadvantage.co.uk and register for job alerts and career guidance tips.

Exciting Opportunity: Palantir Consultant in London About the Role My client is seeking a skilled Palantir Consultant to join their team on a contract basis in London, United Kingdom. This is a fantastic opportunity to work on impactful data-driven projects in a dynamic environment, empowering businesses in oil and gas, energy, or nuclear sectors to unlock their true potential through advanced analytics and innovative solutions. Key Skills We are looking for candidates who bring strong technical expertise and industry experience: Palantir: Proficiency in using Palantir's powerful data platforms to drive decision-making through cutting-edge data analysis and visualization. Databricks: Hands-on experience with Databricks, leveraging its capabilities to integrate, process, and analyze large-scale datasets efficiently. SAP Exposure: Experience with SAP systems, understanding their integration points with data and analytics platforms to maximize business insights. Industry Expertise: Familiarity with the oil and gas, energy, or nuclear industries, ensuring contextual understanding of the unique challenges and opportunities within these sectors. Why Join? This role allows you to contribute to transformative projects, working alongside industry experts, driving innovation, and making a tangible impact. If you're passionate about Data and AI, eager to tackle complex challenges, and ready to excel in a contract-based opportunity, this role is for you! Apply Now Take the next step in your career by joining our client's team of talented professionals. Don't miss out on this opportunity-apply today! Please click to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Computer Futures please visit Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

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 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

Senior Databricks Technical EngineerWoking, Bristol, Manchester, BirminghamApply for this job Permanent Experienced Professionals Cloud Infrastructure Management ID 473229-en_GB## About the job you’re consideringTo support the continued growth of our data led operations and insight capabi

Technical Community Engagement: Develop high-impact, customer-facing collateral, and lead technical seminars or meet-ups that position Databricks as a thought leader in Generative AI, LLMs, and modern data stack architecture. More than 10,000 organizations worldwide — including Comcast, Condé Nas

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

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

AI is fundamentally changes how the world works, and we’re looking for an experienced Databricks Solution Architect to join our team and define what the future of AI looks like on Databricks. Are you an accomplished Solution Architect who wants to grow their Databricks expertise, develop technical

Join Databricks to help shape its crucial UKI business segment.

This role sits at the centre of one of the most strategic ecosystems in Data & AI — accelerating consumption on the Databricks Data Intelligence Platform and shaping how two of the world’s most influential system integrators deliver transformation at scale. You will translate global alliance str

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.

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 origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑eco

Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python / Databricks). Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Design and build scalable data pipelines using Databricks and Azure.

The ideal candidate has significant experience with Databricks and consultancy skills, capable of leading engineering teams and delivering high-quality solutions in a remote setting.

Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real‑time, transactional, and AI‑powered applications directly on governed enterprise data. Support the team in replacing or consolidating legacy operational data

A leading financial services organisation is seeking a Data Integration Lead to enhance its data platform, focusing on scalable integrations between Databricks and Salesforce. The ideal candidate must demonstrate strong experience in data engineering, with hands-on expertise in Databricks and Salesf

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

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

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

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.

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

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

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

Design and implement scalable integrations between Databricks and Salesforce. Hands-on experience with Databricks (Spark, Delta Lake). Data Integration Lead (Databricks & Salesforce).

Databricks fosters an inclusive environment and offers comprehensive benefits to its employees.

Limited is hiring a Data Solution Architect specializing in Databricks, to join their team in the UK. The ideal candidate will bring 7+ years of experience in data architecture and possess strong expertise in Databricks and Apache Spark.

Databricks is the data and AI company, and more than 10,000 organizations worldwide — including over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. More than 10,000 organizations worldwide — including Comcast, Condé

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 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

Gravitas Recruitment Group (Global) Ltd is seeking an experienced Data Architect to design and implement modern data platforms using Databricks. A key requirement is at least 5 years of experience in Data Architecture and 3 years with Databricks.

Data Engineer in London to work on complex systems at a Hedge Fund.You will manage raw data for investment teams, transforming and analyzing data to derive insights.Ideal candidates have a first class degree in a STEM field, experience in financial markets, and strong technical skills in Python/SQL,

Databricks, based in Greater London, is seeking an experienced engineering leader with over 15 years in large-scale distributed systems.

Lakewatch Strategic Sales Lead to drive enterprise business across EMEA.Your role will involve modernizing security teams' SIEM with a unified platform, achieving business targets, and fostering partnerships with key accounts.The ideal candidate has extensive sales experience in SaaS, especially in

Develop and execute a strategic account plan aligned to customer business objectives, industry dynamics, and Databricks' growth goals. Stay well informed on industry trends, regulatory considerations, and data and AI innovation to influence both customer strategy and Databricks' positioning. Databri

This role sits at the centre of one of the most strategic ecosystems in Data & AI — accelerating consumption on the Databricks Data Intelligence Platform and shaping how two of the world’s most influential system integrators deliver transformation at scale. You will translate global alliance str

Databricks is seeking a strategic alliance leader to own and scale our partnership with Accenture across EMEA, while orchestrating our relationship with Avanade. This pivotal role is crucial to enhancing the influence of Databricks in the Data & AI ecosystem.

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

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

A leading data and AI company is seeking a Strategic Alliance Leader to manage and grow the alliance with Accenture across EMEA.This pivotal role demands over 12 years of experience in enterprise software, with a proven track record of executing joint go-to-market strategies that drive measurable re

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