Tipico
sports betting
DataEngineer(m/f/x)
Neural analysis suggests this role is
optimal for entry candidates.
“Data Engineer (m/f/x) at Tipico. Skills: batch (ELT) and real-time data pipelines and architecture, assemble large and complex data sets, building the infrastructure required for optimal extraction, loading and transformation of data, AWS ‘big data’ technologies, data modelling techniques, ELT development, data quality concepts, big data technologies, containerization and orchestration technologies. create and maintain both batch (ELT) and real-time data pipelines and architecture. assemble larg”
What You'll Achieve.
processing millions of transactions every day in low latency; process terabytes of data every day; gaining insights that will change the way we look at sports betting; provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Industry & Context.
analytics skills; ability to innovate; Fast learner. Working in a fast-paced environment requires us to learn new and complex concepts and be resourceful!
What They're Looking For.
Must Have
3 years of work experience, Cloud data services. Such as AWS services as S3, Athena, EC2, EMR, AWS Batch and Lambda., Large-scale production databases and SQL., Familiarity with large cloud DWH tools such as Redshift or Snowflake, including data modelling techniques and handling of very large datasets., ELT. Experience with ELT development (extractions, data load, aggregation) using tools such as DBT and Airflow., Governance. Understanding and experience of data quality concepts and tools. Also, experience with using data catalogue tools., Big Data. You have worked with or are familiar with big data technologies such as NIFI, Kafka, Python, Spark and Hudi., Docker/Kubernetes. You have familiarity with containerization and orchestration technologies like Docker/Kubernetes.
Nice to Have
analytics skills and the ability to innovate, Fast learner, Collaborative
What You'll Do.
create and maintain both batch (ELT) and real-time data pipelines and architecture
assemble large and complex data sets that meet our functional and non-functional business requirements
and implement internal process improvements: automating manual processes
optimizing data delivery
re-designing infrastructure for greater scalability
building the infrastructure required for optimal extraction
loading and transformation of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
How You'll Work.
Team & Collaboration
Collaborate with your stakeholders including data architects, Executives, Product, Data, and IT team members from the beginning to the delivery of your projects.; Share your ideas!; engage in our interactive discussions within our team; working together as a team
Communication Scope
clearly communicate technical concepts
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. Being a market leader means we always need to stay ahead. As a Data Engineer (m/f/x), you will be part of our strategic data team pioneering artificial intelligence concepts and cutting-edge data warehousing techniques, processing millions of transactions every day in low latency. At Tipico, we process terabytes of data every day, related to all areas of the business – such as bookmaking data, web analytics, CRM data, and much more. 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! Your playing field: * You will create and maintain both batch (ELT) and real-time data pipelines and architecture. * We are continuously becoming more data-driven – you will assemble large and complex data sets that meet our functional and non-functional business requirements. * Innovation drives us and we are continuously reinventing ourselves. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. * You’re involved in building the infrastructure required for optimal extraction, loading and transformation of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. * Our focus is on gaining insights that will change the way we look at sports betting, the tools you will build will provide actionable i
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