Senior Data Engineer

About the role

As a Senior Data Engineer at Betsson Group, you will play a crucial role in the development and maintenance of the Sportsbook data platform. Your responsibilities will include designing data structures, building ETL flows, and ensuring the quality and accuracy of data. You will work closely with various stakeholders to provide timely insights that support the company's global operations.

The Sportsbook Data Team operates within a global framework, collaborating across multiple tech hubs in cities like Malta, Budapest, and Stockholm. This role requires a strong investigative mindset and the ability to troubleshoot effectively. Success in this position will be measured by your ability to enhance data processes and contribute to the overall performance of the Sportsbook platform.

Skills that matter here

• T-SQL: You will need advanced T-SQL coding skills to maintain and optimize stored procedures.
• ETL: Experience with ETL processes, particularly using SSIS, is essential for building and improving data flows.
• Data Warehousing: Familiarity with data warehousing concepts will be important for designing effective data structures.
• Data Modelling: You will be involved in creating data models that meet both internal and external business needs.
• SSRS/SSAS: Knowledge of reporting and analytical tools like SSRS and SSAS will aid in delivering insights.
• Git: Proficiency in version control using Git is required for managing code changes.

Who this role suits

• A person with a strong background in database development and data engineering.
• Someone who thrives in a collaborative environment and enjoys working in cross-functional teams.
• An individual who is proactive, with strong problem-solving skills and a continuous learning mindset.
• A candidate who can effectively manage multiple tasks and prioritize in a fast-paced setting.

From the employer

• Maintaining and evolving our Data Structures
• Build new ETL flows and maintain/improve existing ones
• Be part of designing new data structures and data modelling concepts
• Ensure data quality by verifying data consistency and accuracy – being able to create data validation methods
• Write, optimize, and maintain stored procedures
• Investigate, assess, and develop message-based architectures for data streams
• Comfortable working under Agile Framework (Scrum 2-week iterations)
• Have an investigative mindset to be able to troubleshoot – being creative when it comes to troubleshooting problems and incident management
• Document necessary processes and procedures (creating KBs, runbooks, topology etc)
• Taking full ownership of projects and tasks with being able to work within the team
• Work closely with stakeholders to deliver accurate and timely insights to our business partners

• Advanced T-SQL Coding is a must
• Relational and non-relational DBs (proven experience in MSSQL 2014 – 2017)
• Familiar with ETL process (SSIS)
• Familiar with DWH and ETL concepts
• Familiar with Data Modelling concepts
• Familiar with Reporting and Analytical Tools (SSRS/SSAS)
• Familiar with software versioning tools like Git
• Be experienced and knowledgeable in core database development tuning techniques
• Automation and scripting will be a plus
• Additional programming skills will be a plus (.NET, Python, R, Scala)
• Knowledge around Big Data concepts and data streaming architectures will be a plus
• Continuous learning mindset
• Can effectively prioritize and handle multiple tasks and projects
• Excellent verbal and written English communication skills

• Fitness-wellness allowance 🧗‍♂️
• Company mobile phone for private use with 100 GB 📱
• Annual HUF devaluation compensation 💡
• Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠
• Private Health Insurance 🩺
• Career development 📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events 🥳