Retail & Consumer Goods EMEA Leader

United Kingdom
Last month
Posted
9 Apr 2026 (Last month)

Job Title:Retail and Consumer Goods EMEA Leader

Req ID: SLSQ127R516

This is not a role for someone who wants to inherit a playbook. As the Go-to-Market Leader for EMEA Retail & Consumer Goods, you will architect and execute a category-defining strategy from the ground up. You'll operate with the mindset of a founder of a hyper-growth enterprise—a rare opportunity that demands entrepreneurial instincts, relentless drive, and the courage to build in ambiguity.

Databricks is scaling at extraordinary speed. Databricks is the market share leader in data + AI in Retail & Consumer Goods, and this vertical represents one of the most significant growth opportunities in our portfolio. We need a leader who thrives in white space, who sees undefined territory not as risk but as canvas. You will shape how EMEA's largest retailers and consumer brands harness Data and AI to transform their operations, unlock new revenue streams, and reimagine customer experiences.

You will report to the Global VP of Consumer Industries, but your impact will extend across the entire organization—influencing product direction, shaping partner ecosystems, and setting the strategic agenda for one of our most consequential markets.

The impact you will have:

  • A Scalable EMEA Growth Engine Design and execute a go-to-market strategy that doesn't yet exist in its final form. You'll establish C-level relationships with flagship accounts, construct an ecosystem of ISVs, SIs, and alliance partners, and create repeatable motions that accelerate revenue growth across Retail, Consumer Goods, Restaurants, and Wholesale.
  • Programmatic Opportunity Capture Identify the highest-value use cases and industry-specific opportunities—demand forecasting, unified customer intelligence, supply chain optimization, real-time pricing—and build scalable programs that systematically convert these opportunities into revenue. You won't pursue targets one at a time; you'll construct the engines, assets, and activation frameworks that allow us to capture entire categories of opportunity across the region simultaneously.
  • A Partner Ecosystem from First Principles Identify, cultivate, and scale relationships with the partners who will amplify our reach. This isn't about managing existing relationships—it's about seeing what partnerships should exist and making them real.
  • Data-Driven Operational Excellence Use rigorous analysis to surface gaps, inefficiencies, and untapped opportunities within our go-to-market approach. Build the feedback loops and improvement mechanisms that compound our effectiveness over time.
  • Sales Plays That Travel Create comprehensive, scalable sales initiatives tailored to EMEA's diverse geographies while contributing frameworks that support Americas and APJ. You'll work cross-functionally to ensure these plays move from concept to revenue.
  • Industry Thought Leadership Establish Databricks as the authoritative voice in Retail & Consumer Goods transformation. Author white papers, command stages at premier industry events, and engage C-suite executives with a point of view that shapes how the market thinks about Data and AI.
  • Cross-Functional Influence Serve as a trusted advisor across product, sales, pre-sales, marketing, and partner teams. Your credibility will be earned through results, and your influence will extend far beyond your formal remit.
  • Market-Defining Content Collaborate with marketing to develop industry-specific collateral, demand generation campaigns, and event strategies that resonate with sophisticated enterprise buyers.
  • Sales Team Acceleration Build enablement content and coaching programs that elevate the entire verticalized sales organization—making others more effective is as important as your direct contributions.

What we look for:

  • An Industry Insider with Builder DNA You've held senior leadership or practitioner roles in Retail or Consumer Goods. You understand the industry's challenges from the inside—but you're energized by building something new rather than optimizing what exists.
  • Entrepreneurial by Nature You've operated in environments where the path wasn't paved. You're comfortable making decisions with incomplete information, moving quickly, and course-correcting based on market feedback. Ambiguity is where you do your best work.
  • A GTM Architect You have extensive experience constructing vertical go-to-market programs on technology platforms, working cross-functionally to deliver measurable revenue growth and customer value.
  • An Executive Relationship Builder You engage naturally with CXOs and senior business leaders. You create trust through substance, not just polish, and you know how to translate technical capability into strategic business value.
  • A Transformation Leader You've led large-scale change initiatives and understand both the technical and human dimensions of enterprise transformation in complex organizations.
  • Technically Fluent You possess deep familiarity with the data and AI landscape, retail technology standards, and the broader ecosystem trends reshaping the industry.
  • Regulatory Aware You understand the European regulatory environment—GDPR, Greenhouse Gas Compliance, food waste, sustainability reporting—and can navigate these considerations in strategic conversations.
  • A Program Operator You've managed complex vertical initiatives end-to-end: gathering requirements, coordinating technical teams, driving marketing alignment, and managing partner relationships to hit milestones.
  • A Force Multiplier You have proven ability to train and enable sales teams, making the entire organization more effective at positioning solutions to Retail & Consumer Goods customers.

Multilingual Fluent in English with strong proficiency in French or German.

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.

Related Jobs

View all jobs

Senior Account Executive, Enterprise

Fivetran United Kingdom

Senior Finance Analyst

TJX Europe Watford, Hertfordshire, United Kingdom

Solutions Architect (Retail/CPG)

Databricks London, United Kingdom

Commercial Analyst

Vision Recruitment Ltd Kempston, Bedfordshire, United Kingdom
£45,000 pa Hybrid

Data Engineer

Faraday Recruitment Limited London, United Kingdom
£50,000 – £85,000 pa Hybrid

Data Engineer

DCS Recruitment Belfast, County Antrim, United Kingdom

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data Engineering Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

New Data Engineering Employers to Watch in 2026: a UK and global shortlist of data platform companies hiring data engineers, pipeline and lakehouse specialists. Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.