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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. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding engineers to build out both the Lakebase product and our London presence. The impact you will have Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store. Develop product features that empower our customers to easily store and access their data. Solve reliability problems related to Lakebase. Actively find causes of downtime and systematically improve or remove root causes. Help the org define SLIs, meet SLOs, and drive long-term reliability improvements. What we look for BS degree (or higher) in Computer Science, or a related field. 8+ years of production level experience in one of: Java, Scala, C++, or similar language. Experience working on a SaaS platform or with Service-Oriented Architectures. Knowledge of SQL. 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 click here . 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 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-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks Inc. is seeking a founding engineer to develop the Lakebase product in London. This role involves tackling distributed system challenges and creating high-performance services for data storage on leading cloud platforms. Ideal candidates will have 8+ years of experience in programming languages such as Java, Scala, or C++. A BS degree in Computer Science or a related field is required. Join us to make a significant impact on our innovative data solutions.

Job Search Place Limited in the United Kingdom is looking for a qualified professional to lead engineering efforts in freight trading and voyage management. You will be responsible for developing the target state landscape, driving technical delivery, and managing solution architects. The ideal candidate should possess robust business domain knowledge and technical skills, particularly with tools like Azure and Databricks. The role offers flexible working hours and a competitive salary.

Menlo Ventures is looking for a Resident Solutions Architect to join our Professional Services team. This role involves working closely with clients on their big data challenges using the Databricks platform. The ideal candidate will have extensive experience in data engineering, be comfortable coding in Python or Scala, and possess strong client management skills. Some travel to client sites may be required. Join us to help organizations maximize the value of their data.

What you'll bring to the team Senior Data Scientist Location: London/Hybrid Hours: 37.5 hours per week Contract: Permanent - Salaried You are a senior technical authority within the Data Science capability. You are responsible not only for building models, but for defining what should be built, ensuring quality, and bridging the gap between business outcomes and technical delivery. Responsibilities: Build and deploy predictive models and advanced analytics solutions for high-value use cases. Own the most complex and high-impact modelling problems. Ensure robustness, explainability, and performance of models in production. Define the features and datasets required for modelling. Collaborate with the Lead Data Modeller to shape semantic definitions and structures. Work with Engineering to ensure pipelines support modelling needs. Translate business problems into analytical approaches. Challenge poorly defined requests and drive clarity on outcomes. Communicate trade-offs between model complexity, data availability, and delivery timelines. Establish and enforce best practices for modelling, evaluation, and deployment. Implement peer review processes for models and code. Ensure ethical and responsible use of data and AI. Mentor junior and mid-level Data Scientists. Support capability development and knowledge sharing. Act as a confident voice in shaping Data Science practices. Work closely with the Lead Data Modeller to define 'Gold' data required for analytics. Partner with Data Engineers to ensure model readiness and operational deployment. Align with Delivery Lead on prioritisation and feasibility. Qualifications & Experience Degree in a relevant field such as Computer Science, Mathematics or Engineering. At least 4 years of experience in a data science or statistical role with a proven track record of delivering impactful solutions. Experience in developing and deploying machine learning models and statistical analysis. Familiarity with distributed computing tools and cloud platforms (e.g., Azure Synapse, Snowflake, Databricks). Experience with data transformation and analytics tools (e.g., Python, SQL, Spark SQL). Proven ability to work with large datasets and complex data structures. Strong background in applying statistical and machine learning techniques to solve business problems. Benefits 'Enjoy the Ride' Merlin Annual Passes - 6 in total per year, 1 for you, plus 5 to gift to loved ones! Merlin Magic Pass - 20 free tickets for you, your family and friends to enjoy all our Merlin Attractions across the world rising to 40 after a year's service 33 days holiday (including bank holidays) Company bonus Private pension scheme 40% discount online off LEGO 25% discount in our on-site retail shops and restaurants Ongoing training and development opportunities Plus, many more Pay Range Competitive

What You'll Get People are at the heart of what we do here, so it's essential we provide you with the right environment to perform at your very best. Let's talk lifestyle: Healthcare, Potential Bonus, 27 days of leave, plus bank holidays, and if you want, you can buy 5 more. Because Primark is all about tailoring to you, we offer Tax Saver Tickets, fitness centre, and a subsidised cafeteria. This role is a hybrid opportunity, offering 1-2 days Working from home. What You'll Do as a Solution Architect Data We want you to feel challenged and inspired. Here, you'll develop your skills across a range of responsibilities: Lead the design of end-to-end technical solutions aligned with business needs, enterprise architecture, and domain strategy, ensuring both functional and non-functional requirements are met. Provide architectural governance and oversight, ensuring compliance with standards, design principles, and presenting solutions at architecture forums. Define and document solution architecture (including blueprints, key decisions, and technology choices) while ensuring knowledge is accessible and reusable. Drive solution shaping by evaluating options, defining non-functional requirements (performance, security, scalability), and guiding trade off decisions with stakeholders. Provide technical leadership across the full lifecycle-from planning and vendor evaluation through to design validation and delivery-ensuring efficient and cost-effective implementation. Collaborate with cross functional stakeholders (product, engineering, vendors, domain architects) to ensure alignment, manage risks, and support successful delivery and operational readiness. What You'll Bring Here at Primark, we want everyone to feel valued - so please bring your authentic self to work, of course with some other key experience and abilities for this role in particular: Strong expertise in solution architecture principles and frameworks (e.g., TOGAF), with the ability to design scalable, enterprise-grade data solutions and guide architectural decisions. Hands on experience designing Databricks Lakehouse architectures, including governance using Unity Catalog, and applying medallion architecture and end-to-end data engineering patterns. Solid data modelling capabilities and experience with data products, data contracts, governance, and ensuring data quality and discoverability. Strong engineering mindset with experience in CI/CD, automation, infrastructure as code, and focus on performance tuning, cost optimisation (including Databricks DBUs), and operational resilience. Deep understanding of data security, compliance, and risk, along with the ability to communicate complex technical concepts effectively to both technical and non technical stakeholders. Proven experience (8+ years in technology, 5+ years in architecture) delivering enterprise scale solutions, contributing to architectural governance, and providing technical leadership across teams and stakeholders. If you need any reasonable adjustments or have an accessibility request during your recruitment journey, such as extended time or breaks between online assessments, a sign language interpreter, mobility access, or assistive technology, please contact your talent acquisition specialist. All offers of employment are subject to background checks, including right to work, reference education and for some roles criminal, and financial checks. If you have any concerns, please reach out to our talent acquisition team to discuss. REQ ID: JR-9868

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. At CI&T, we imagine, design, and build brands and digital experiences for top clients in the financial services, consumer goods, e-commerce, and technology industries. Our philosophy is simple: quality work paves the way for trusted relationships. We are a diverse mix of professionals who are both thinkers and doers, always ready to roll up our sleeves to deliver powerful work. We also support a happy balance between work and personal life, and we're committed to building the most impactful team in the industry. Position Overview Reporting to our regional CTO, the principal AWS architect will support the rapid growth of CI&T's AWS business by providing excellent technical leadership across some of our major client opportunities, while also contributing to the leadership and evolution of our EMEA AWS practice and supporting our rapid growth of AWS partner revenue. Our partnership with AWS: AWS Generative AI Partner Innovation Alliance member, one of only 22 firms worldwide Partner of the year LATAM 2023, sustainability partner of the year LATAM 2024 Migration competency + advanced consulting partner Part of the AWS ProServe collective Main Responsibilities shape and direct major AWS client engagements across EMEA, ranging from region level cloud migrations to AI innovation programmes support CI&T account teams across EMEA to develop our AWS business, facing off to client technology leaders and executives engage directly with AWS account teams and partner solutions architects to collaborate on customer projects and opportunities help shape and rapidly grow our regional AWS services practice develop your eminence by joining our regional CTO team at external conferences and AWS speaking engagements mentor and develop upcoming AWS technical leaders and specialists learn and contribute to development of our repeatable AWS solution and service offerings join our regional regional CTO team to share knowledge and co-ordinate across our EMEA client accounts develop your eminence at external conferences and speaking engagements Mandatory Skills AWS CSA Pro with at least 12 months onward validity AWS Certified AI Practitioner or equivalent knowledge and experience Excellent client acumen, consultancy skills, written and spoken English Proven ability to shape and direct client workshops on AWS technical or strategy topics, leadership and governance forums At least 3 years experience in senior architecture roles with decision making responsibility At least 6 months experience as a primary technical lead and advisor at client account level, or business unit level as a permanent member of staff Working knowledge of AWS MAP and other common AWS partner funding mechanisms Experience assembling estimates with AWS pricing calculator Proven track record hiring and mentoring upcoming AWS technical leaders Willingness to travel occasionally to client locations, CI&T and AWS offices, and AWS events across the UK and EMEA Nice to Have Skills Further professional level or specialty AWS certifications Fluency in German, Italian, French, Spanish, Portuguese or Arabic Experience with Databricks or Snowflake Public speaking or thought leadership in AI/engineering/architecture forums. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

Join the Chief Data & Analytics Office at JPMorganChase and help accelerate our data and analytics journey. You will lead complex, multi-functional technology projects that impact clients, employees, and stakeholders firmwide. Bring your technical fluency and analytical reasoning to drive innovative solutions, manage resources, and foster productive relationships. This is your opportunity to shape the future of our technology landscape and contribute to the development of new policies and processes. Job Summary As a Senior Director of Software Engineering - Data Privacy Engineering Lead in the Chief Data & Analytics Office, you will manage the Data Privacy & Governance roadmap, ensuring alignment with global privacy priorities and business objectives. You will lead privacy-centric initiatives, oversee engineering projects, and drive technical direction for privacy impact assessments and technology integrations. Your role will focus on privacy risk identification, regulatory compliance, and executive-level reporting, partnering with product teams to deliver business outcomes. Job Responsibilities Manage the Data Privacy & Governance roadmap, aligning with global privacy strategic priorities and business objectives. Lead firmwide privacy initiatives, including consent management, data retention, and cross-border data transfer governance. Drive technical direction for Privacy Impact Assessment, overseeing new data privacy technology initiatives and third-party integrations. Structure roadmap delivery and operating model across the organization. Oversee engineering projects, risks, issues, and dependencies, focusing on privacy risk identification, remediation tracking, and regulatory compliance milestones. Develop and maintain privacy metrics, KPIs, and dashboards for executive visibility into privacy posture and compliance status. Prepare and deliver comprehensive reports and presentations to C-Level Executives, communicating program status, risks, and achievements. Partner with product teams to drive business outcomes and ensure technical programs align with strategic goals. Required Qualifications, Capabilities, and Skills Experience leading Data Governance and Data Privacy organizations. Strong understanding of global data privacy regulations to inform technical architecture and engineering requirements. Ability to manage multiple portfolios and competing priorities. Proficiency in technical solutions, vendor product knowledge, and managing vendor relations. Knowledge of records retention, legal holds, and defensible disposal across structured and unstructured data. Proven track record deploying and governing enterprise metadata, catalog, and lineage platforms. Practical expertise with data contracts and schema governance. Ability to evaluate and drive technical decisions regarding data platform trade-offs, including performance, cost, scalability, and operational excellence. Technical understanding of modern data platform architectures, including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks. Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake. Strong knowledge of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns. Preferred Qualifications, Capabilities, and Skills Experience navigating complex data governance, security, and compliance requirements across multi-cloud and hybrid data environments. Ability to deliver executive-level reports and presentations. Familiarity with privacy metrics, KPIs, and dashboard development. Experience structuring operating models for privacy and governance delivery. Demonstrated success in driving business outcomes through technical programs. Expertise in architecting end-to-end data solutions in enterprise environments. Strong adaptability and analytical reasoning skills.

Data Analyst Onsite Requirements: Remote Start Date: ASAP Role Duration: 1 year Clerance Requirements: Active SC clearance Inside IR35 - umbrella only Role Description We're looking for a Data Engineer whose main focus is understanding and documenting existing systems, with the goal of supporting decommissioning activities. The role centres on analysing current solutions built using Java, Node JS, and React, and developing a clear, end to end picture of how data flows across the wider programme. This includes documenting data flows, system dependencies, and underlying data models, ensuring there is a clear record of how data is structured, stored, and used throughout the solution. The role involves investigating how systems are used on a day-to-day basis, clarifying ownership and integration points, and capturing this information in a way that supports risk assessment and decommissioning decisions. Responsibilities Python and PySpark are required as supporting capabilities, used where needed to analyse data pipelines and confirm how data moves and transforms in practice. The role also requires strong experience with testing and data quality management, ensuring that documented data flows and models are accurate and trusted. Experience working in cloud environments such as AWS or Azure is expected, with Databricks considered a nice to have. Required Skills Java background Node JS Json RDS React Data Modelling Python / Spark Cloud experience (AWS / Azure) o AWS Glue o Databricks Testing e.g. PyTest Data Quality e.g. Great Expectations

Senior Solutions Architect (Utilities/Energy) London, United Kingdom REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guides us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. Coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. Have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background. Work with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. Have a builder mindset, instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. Enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification. Up to % travel to London offices and customer sites. 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. 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 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 economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Values are extremely important to our culture and success at FullFibre We are Customer Centric. Our customers are at the centre of everything we do. We value, serve, and support our customers with care and dedication. We are Collaborative. We prioritise effective communication, cooperation, and collaboration. We work as one team and celebrate our shared success. We are Proud. Proud of the work we do and how we do it; with integrity, pride, confidence, and respect We are Agile. We embrace change. We are innovative, forward thinking and adapt quickly to fast-moving situations and opportunities. We are continuously improving. The Senior Software Engineer will join our Systems, Development and Data team to support our ongoing development of our operations and business support systems, with a focus on our primary OSS platform (Netadmin). You ll be responsible for collaborating with our supplier to deliver enhancements, new functions, and reliability improvements for our key platform, using C#/.NET. Alongside this, you ll work with colleagues to integrate and develop microservices in Python that help automate key business processes and provide new capabilities for the business. As our Senior Software Engineer, you ll support junior engineers and help them develop into great software engineers. You ll also help ensure that we keep our quality standards high and are developing the right tools to solve the business long-term challenges, even where requirements and demands are unclear or changeable. The Systems, Development and Data team is a small but mighty function of the business, responsible for all internal and external facing systems, both third-party (SaaS) and internally delivered solutions. We build key internal tools and make business processes flow smoothly, automating where we can, and making end-user experiences great where people need to be involved. We also own business data management; we deliver complex reporting outputs and maintain our data warehouse and processing pipelines. We re a friendly and diverse team, constantly helping each other out and supporting ongoing learning and development. We re remote-first, and distributed across the UK, with occasional (quarterly-ish) social get-togethers in London, Birmingham, and Manchester. We do use AI where it makes sense in our workflows but are thoughtful when it comes to selection of tools and use of automation in our day-to-day activities. The ideal applicant will bring a similar curious-but-sceptical attitude, be happy in a fully remote async-heavy team, and be aligned with our team values of inclusivity, openness, and curiosity. Ideal Profile At least 8 years of professional experience in software engineering with C# and .NET, ASP.NET, or similar technologies, ideally in Linux environments. At least 5 years of professional experience with modern Python (3.7+, async/typed) or a strong desire to learn and familiarity with similar soft-typed interpreted languages Demonstrated experience working on live, large-scale systems, and a strong understanding of risk and change management principles. The ability to collaborate with technical and operations teams with a range of technical skill levels. Experience working with external technical suppliers and professional services teams. Excellent written communication skills, with strong asynchronous working familiarity. An inquiring attitude you don t like things you can t explain, are driven to figure stuff out if you don t know, and enjoy getting to the bottom of odd glitches and one off events. Significant experience with Linux system and process administration, container technologies (Docker, etc). Experience with git, Jira, and remote working in a fully distributed team. Degree-level qualification in Computer Science, Mathematics, Physics, or similar equivalent professional experience demonstrating your ability to work and think in an analytical manner. Desirable skills, knowledge, experience Experience with Kubernetes/Amazon EKS and GitOps/CI/CD workflows, GitLab Experience with SQL database technologies (PostgreSQL, MySQL) Experience with PySpark, Databricks, Delta Lake or other data warehousing technologies Experience with distributed systems engineering, message/event buses, and RESTful API design Understanding of telecoms operational and business support systems Your key responsibilities as our Senior Software Engineer will be Develop and support extensions and integrations to our primary OSS platform (Netadmin) in C#/.NET, working with end-users and internal customers to scope and design features and improvements to our customisations Develop and support FullFibre s ecosystem of microservices and web applications in Python to deliver new functionality and capabilities for internal teams and customer self-service Work with our DevOps engineers to ensure reliable and robust deployment of your services and code on our Kubernetes clusters and other environments Ensure that systems you develop and support are secure, and protect customer data and privacy effectively Architect, develop, and scope plans and system changes from cradle to grave Collaborate with stakeholders to build and shape roadmaps and future deliverables Support and mentor junior engineers in their development We anticipate this role will involve some occasional travel initially to our key supplier near Stockholm, Sweden for learning and development. Company Benefits Base salary of up to £90,000 depending of qualifications/experience. 25 days paid holiday plus bank holidays A day off for your birthday Pension Scheme Life assurance Private BUPA Healthcare £500 Employee Referral Scheme Enhanced family friendly policies Zzoomm Employee broadband perks inc family & friends Working with us, you will learn new skills on the job, diversify your abilities and enjoy building a new future for the UK s broadband network. FullFibre provides you with the flexibility to work in a way that will help you grow and develop. As well as having clear responsibilities, you will get extensive training to help you develop, and you will be building a legacy here as we build the Full Fibre broadband network of the future