Tipico

sports betting

TeamLeadDataEngineering(m/f/x)

St. Julian's, Malta FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Team Lead Data Engineering (m/f/x) at Tipico. Skills: Data Engineering, Team Leadership, Data Pipelines, Cloud-first Systems. Lead, coach, and mentor Data Engineering squad. Foster a dynamic, collaborative, high-performance culture”

What You'll Achieve.

Ensure business has trusted data; Drive high-quality, scalable solutions; Effectively and securely support business objectives; Meet all regulatory outputs; Continuously boost performance; Maximize cost-efficiency

Industry & Context.

sports betting
Problems you'll solve

Rigorous problem-solver; Finding the optimal path forward

What They're Looking For.

Must Have

Minimum of 5+ years of experience successfully managing and leading large-scale data projects and high-performing data engineering team(s) in a similar role, Bachelor's or Master's degree in Business, Information Technology (IT), or a closely related quantitative field, Robust ETL/ELT engineering skills, Hands-on experience with analytics/time-series technologies (OpenSearch/Elasticsearch), Coding abilities in Java, Scala or Python, Experience with Linux, containers, Kubernetes, Ability to build cloud-first, production-ready data systems, Exceptional stakeholder management and negotiation skills, Confident decision-maker, Rigorous problem-solver

Nice to Have

Kubernetes a plus

What You'll Do.

and mentor Data Engineering squad

high-performance culture

Oversee data supply chain

Design and operate data pipelines

Ensure peak scalability and performance

Guarantee end-to-end data quality

Translate business requirements into technical specifications

Develop concrete delivery plans

Align data engineering practices with group standards

and operational excellence

Boost performance and cost-efficiency

Contribute to Data Department roadmap

Provide leadership support for initiatives

How You'll Work.

Team & Collaboration

Partner with stakeholders (Product, Operations, Compliance); Partner strategically with Product Managers, Architects, and key stakeholders; Work closely with product; Collaborative culture; Team player; Supportive Environment

Communication Scope

Exceptional stakeholder management; Negotiation skills; Open communication

Process & Methodology

Manage large-scale data projects, Develop concrete delivery plans

Full Job Description

We are Tipico, Germany's leading sports betting provider and one of the most dynamic tech companies in the industry. We approach every challenge like a Championship match, with a mission to excite the arena and elevate the betting experience for every customer. Our culture is energetic and ambitious - we play as a team to win high, leave an impact, and commit to excellence. Fueled by our passion for the perfect product, we use the newest tech stack to get better every single day. At Tipico, we believe in owning our game. Are you ready to step onto the pitch, bring your best self, and become a champion? Then show us your game face – because we’re looking for a Team Lead Data Engineering (m/f/x) to join the team! As the central captain, the Team Lead Data Engineering (m/f/x) is accountable for building and operating our essential, reliable data services and platforms (Data Lake, DWH, etc.), ensuring the business has trusted data for every major play. You manage, coach, and mentor a squad of Data Engineers, driving high-quality, scalable solutions aligned with company objectives. You closely partner with stakeholders (Product, Operations, Compliance) to ensure the data strategy effectively and securely supports us to win the match. Your playing field: * Lead, coach, and mentor our Data Engineering squad, actively fostering a dynamic, collaborative, and high-performance winning culture. * Oversee the entire data supply chain, from design to operation of mission-critical data pipelines (batch and real-time). You ensure peak scalability, blazing performance, and strict adherence to SLAs. * Act as the ultimate assurance gate, guaranteeing end-to-end data quality, accuracy, and consistency across the Data Platform to power reliable reporting, precise analytics, and meet all regulatory outputs. * Seamlessly translate complex business requirements into robust technical specifications and concrete delivery plans, partnering strategically with Product Managers, Architects, and

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