Be part of the Data Engineering team at tombola, in delivering a market leading customer data platform.
To deliver data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future proof
To implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
To work with commercial, product and analytics teams to define, produce and maintain data models around the business
Be a team player and support deliver the data engineering strategy that enables tombola to deliver on its business objectives
To optimize and develop the data pipeline that makes tombola’s various online data sources available for consumption by key stakeholders around the business.
To work with development and engineering teams to ensure quality and availability of raw data sources
To work with security, data protection and compliance teams to ensure a secure and compliant data architecture is maintained, in line with gambling license requirements and industry best practices
Designing, building, and maintaining data pipelines to facilitate building data models that provide useful data and insights to key business stakeholders, external stakeholders and regulators
Working with Data Analysts in delivering an efficient data model to be used for analytics and reporting
Collaborating with immediate team and wider teams to support data queries and requests
Participate in team’s Sprint ceremonies and commit to timely delivery of tasks / objectives
Working with key business stakeholders and analysts to gather data requirements
Defining and documenting key logical and physical data models
Produce and maintain a metadata repository for use within various departments across the business
Ensure that the principles of security-by-design and privacy-by-design are followed
Experience in designing, building and testing data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both
Experience maintaining and documenting large data sets
Experience managing and building relationships with internal and external stakeholders
Experience in Cloud Technologies
Experience in ETL, Orchestrator tools like Airflow, AWS Glue etc.
Understand the concepts and principles of data modelling.
Experience in modern data warehouse technologies like redshift, databricks etc
Streaming frameworks like Kafka, Kinesis etc
Knowledge of industry-wide technology trends and best practices across Data Engineering field and awareness of where this discipline relates and adds value to other business domain areas
Ability to work in large, collaborative teams
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Knowledge of iGaming industry and regulatory requirements would be a huge advantage
Experience with a broad range of technologies would be a huge advantage. Some of the tools / technologies we use are Python, git, dbt, Docker, SQL Server, AWS
Ability to work as part of a team
Expert communicator. Can communicate progress of complex projects to senior stakeholders.
Demonstrate high degree of empathy and emotional intelligence
You will have excellent communication and interpersonal skills, able to build strong relationships with internal and external stakeholders at all levels
Highly motivated with a “can do” attitude and the ability to use own initiative
Have a “down to earth” working style
Good attention to detail and the ability to prioritise effectively
Able to work under pressure and to tight deadlines
Spirit of fun and engagement