Data Engineer (Data Mesh & Lake Architecture)

• You will play a pivotal role in deploying, maintaining, and governing real-time data pipelines and data lake architecture to ensure reliable, high-quality data for analytics and operations
• You will oversee the implementation of an enterprise data mesh architecture, enable decentralized ownership while maintaining consistency, scalability, and governance across the organization
• Our focus is on providing data ownership and governance across the company's different data products, ensuring that stakeholders have access to trusted, well-managed data
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability
• Build and maintain both batch (ETL) and real-time data pipelines and architecture using SQL and AWS cloud technologies
• Collaborate with stakeholders, including software architects, engineers, product managers, and IT teams to achieve organisational goals
• Assemble large and complex data sets that meet functional and non-functional business requirements, driving actionable insights into customer acquisition, operational efficiency, and other key business metrics

Do you have experience in Terraform?, Which skills should you bring to the pitch:

• 3 years of work experience. That is relevant for us and this position.
• Cloud Data Services. AWS services such as S3, Athena, EC2, EMR, MSK, ECS, and Lambda, as well as infrastructure-as-code (IaC) with Terraform.
• Event Streaming Ecosystems. Experience with Kafka and related technologies, including Apache Kafka, KSQL, and Schema Registry
• Data Streaming Technologies. Experience with data streaming, including Kafka, Apache Flink, Apache Spark, and Apache NiFi.
• Governance & Data Quality. Understanding of data governance, quality concepts, and experience with data catalog tools.
• Containerization & Orchestration. Familiarity with Docker and Kubernetes for deploying and managing data infrastructure.
• Open Source Enthusiast. Passionate about open-source technologies and contributing to or leveraging community-driven tools.
• Enterprising. Strong problem-solving and analytical skills, a fast learner who thrives in a fast-paced environment, and a team player who communicates clearly and contributes ideas proactively.

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 Data Engineer (m/f/x) to join the team!, Tipico is looking for a Data Engineer to join our team. Grow with us, introduce us to new ideas and develop products that maximise the thrill of sports for our customers. Every day, you'll work in a highly collaborative and agile environment with cross-functional team members to develop products and create technical solutions that push us forward., * Business Bike Leasing. We offer a sustainable commuting solution whilst also keeping you active! * Corporate Pension Scheme (betriebliche Altersvorsorge). Secure your future! Join our corporate pension scheme, where we provide additional financial support. * eGym. We encourage an active lifestyle, and to support this, we've partnered with an online sports platform that provides access to a variety of clubs and offers across Germany. * Modern offices. Our very own Karlsruhe campus 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?