Activate JobCopilot
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Team Lead - REMOTE. In this role, you will drive the data engineering function and influence how data, AI, and machine learning enhance client outcomes. You'll be operating at a pivotal intersection where data infrastructure and customer experience meet, ensuring that clients can harness the power of their data with high-performing, scalable solutions. This is not just a leadership position; it’s an opportunity to shape the future of data usage across various business sectors while contributing to a culture of ownership and collaboration.
Accountabilities
- Lead, mentor, and scale a high-performing team of data engineers and data scientists.
- Define and drive the data architecture vision, technical standards, and best practices across client engagements.
- Champion AI/ML initiatives, identifying opportunities for automation, modeling, and intelligent activation.
- Oversee end-to-end delivery of data platforms, pipelines, and tooling across client projects.
- Ensure strong data governance, security, and compliance across all workflows.
- Collaborate with CRM, Growth, and Strategy teams to align technical delivery with business objectives.
- Partner with clients to translate business requirements into scalable technical solutions.
- Manage vendor and platform relationships across cloud, data warehouse, and CDP ecosystems.
- Optimize performance, reliability, and cost efficiency of data infrastructure and operations.
- Represent our partner's data capabilities in client conversations, proposals, and strategic engagements.
Requirements
- 7+ years in engineering leadership roles focused on data and AI technologies.
- Proven experience managing and scaling cross-functional data teams (5–8+ direct reports).
- Strong track record in hiring, mentoring, and developing technical talent.
- Experience delivering complex data programs in high-growth or consulting environments.
- 10+ years of hands-on experience in data engineering and modern data stack architectures.
- Deep knowledge of enterprise data platforms such as Snowflake, BigQuery, Databricks, or similar.
- Experience with CDPs and data integration tools such as Segment, mParticle, Hightouch, or equivalent.
- Strong grounding in data architecture, governance, and security best practices.
- Familiarity with AI/ML ecosystems and orchestration tools (e.g. Airflow, dbt, SageMaker, MLflow).
- Solid understanding of cloud platforms (AWS, Azure, GCP) and modern DevOps practices.
Benefits
- Rocket‑Fuelled Growth – Big challenges, fast learning, and the chance to level up quicker than anywhere else.
- A Culture That Actually Gives a Damn – Supportive, positive, and built around people who want to see you win.
- A Global Crew – Collaborate with brilliant teammates across Europe, the US, and beyond.
- Remote‑First for Life – Work from wherever you feel your best.
- Real Career Momentum – Clear progression, real ownership, and space to grow into your next chapter.
- Moments That Matter – Meetups, events, and team experiences that make the journey unforgettable.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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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.
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