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St. Julian's, Malta
Live, first seen by us 19 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Job title: Data Engineer (m/f/x)
Create and maintain batch (ELT) and real-time data pipelines and architecture
Assemble large, complex data sets that meet business requirements
Automate manual processes and redesign infrastructure for scalability
Build tools that give insights into acquisition, efficiency and performance metrics
You will create and maintain both batch (ELT) and real-time data pipelines and architecture.
you will assemble large and complex data sets that meet our functional and non-functional business requirements.
automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
the tools you will build will provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
3 years of work experience
Such as AWS services as S3, Athena, EC2, EMR, AWS Batch and Lambda.
Large-scale production databases and SQL.
Experience with ELT development (extractions, data load, aggregation) using tools such as DBT and Airflow.
Familiarity with large cloud DWH tools such as Redshift or Snowflake
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 19
Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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 insights into customer acquisition, operational efficiency, and other key business performance metrics.
- 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.
- 3 years of work experience . That is relevant for us and this position. - 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.
- 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. - Strong analytics skills and the ability to innovate. We need you to come up with the best solutions for us that will push us forward.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Your playing field:
Which skills should you bring to the pitch:
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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!
We are Tipico, Germany’s leading sports betting provider and one of the most dynamic tech companies in the industry, part of Banijay Gaming - a European champion in sports betting and online gaming.
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!
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St. Julian's, Malta
- Competitive Package. We care for our employees, offering a competitive salary, Private health and dental insurance, and subsidized parking. - On-site childcare. Worried about where to leave your 3+ year-old kids? We’ve got a game plan. - Gym Allowance. Because we love Sports!
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