Team Lead Data Engineering (m/f/x) at Tipico

Saint Julian's, Central Region, Malta -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Lake, Data Warehouse, Data Pipelines, AWS Redshift, S3, EMR, Airflow, Kafka, Spark, Iceberg, Hudi, ETL, ELT, OpenSearch, Elasticsearch, Java

Industry

Wellness and Fitness Services

Description

Company 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! Job Description 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 must 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 key stakeholders. Align all data engineering practices with group standards, relentlessly driving security, compliance, and operational excellence across every process. Lead the charge in automation, optimisation, and innovation within data processing to continuously boost performance and maximize cost-efficiency. Actively contribute to the Data Department’s roadmap and objectives, providing leadership support for strategic initiatives and continuous improvement efforts. Qualifications Which skills should you bring to the pitch: Education. Bachelor's or Master's degree in Business, Information Technology (IT), or a closely related quantitative field. Experience. 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. Big Data Is Your Thing. From AWS Redshift, S3 and EMR to Airflow, Kafka, Spark, Iceberg and Hudi—designing scalable data models and pipelines that turn massive datasets into business value. Engineering Excellence. You bring robust ETL/ELT engineering skills, hands-on experience with analytics/time-series technologies (OpenSearch/Elasticsearch), and strong coding abilities in Java, Scala or Python. Modern Engineering Environment. You thrive in modern engineering environments—Linux, containers, Kubernetes—and know how to build cloud-first, production-ready data systems. Trusted Partner. We need a natural team player with exceptional stakeholder management and strong negotiation skills. You must be a confident decision-maker and a rigorous problem-solver who thrives on finding the optimal path forward for the team. Natural Leader. Lead, coach, and mentor our Data Engineering squad, actively fostering a dynamic, collaborative, and high-performance winning culture, serving as an inspiring leader dedicated to open communication and continuous team success. Additional Information This is how we score with you Established International Group. We have a solid foundation on which to grow. Personal and Professional Growth. We offer you opportunities to develop and grow to unlock your potential. Relocation Support. To make your move to Malta as smooth as possible. Competitive Package. We care for our employees, offering an indefinite contract, competitive salary, insurances (private health, dental, private accident, sickness and life) and free parking. On-site childcare. We’ve got a game plan to support you and your 3+ year old kids. Sports Incentive. We want you to remain active and will subsidise a gym membership of your choice. Modern offices. Our very own Tipico tower provides an open plan space with the latest technology. Events. Sponsored Charity and Team gatherings, we like to have fun together as one team and reinforce our connections. Supportive Environment. We believe in collaboration and working together as a team but we also give importance to the uniqueness of each and every one of us. Think a career at Tipico’s right for you? Apply now and join our winning team! If you have any questions or comments about this role, our TA team is happy to help you! Feel free to reach out to us on our social media channels We look forward to your application! Job Family: Data

Responsibilities

The Team Lead Data Engineering is responsible for building and operating essential, reliable data services and platforms, managing, coaching, and mentoring a squad of Data Engineers to deliver high-quality, scalable solutions. This role ensures data quality, accuracy, and consistency across the platform while partnering with stakeholders to align the data strategy with business objectives.