Lead Data Engineer
Ireland, Finland, Malta, Serbia, UK
Gambling.com Group
Gambling.com expertly reviews and compares gambling services to identify the best regulated operators and products available online.Gambling.com Group (Nasdaq: GAMB) is looking for exceptional talent interested in the fast-paced, high-growth online gambling industry. The company operates a portfolio of renowned websites and brands – including flagship site Gambling.com and sports betting site Bookies.com as well as iGaming-focused site Casinos.com, BonusFinder.com and UK-centric Freebets.com. In the U.S., the company operates state-specific websites such as NewYorkBets.com, BetCarolina.com, BetArizona and popular consumer facing subscription brands such as OddsJam and RotoWire. Additionally, Gambling.com Group provides B2B services through OpticOdds, further solidifying its position in the industry.
As the first and only online gambling affiliate publicly traded in the U.S., Gambling.com Group has earned recognition as a leader in its field – most recently winning Casino Affiliate of the Year at the 2024 EGR Operator Awards. Gambling.com Group embraces a majority remote-first hybrid work model, offering employees the flexibility to work remotely while being part of a global team. For some roles, in-office presence is required for operational reasons, ensuring seamless collaboration and effectiveness where needed.
With flagship offices in Dublin, Charlotte, and Malta, and satellite offices in Madison, Helsinki, Serbia, and Costa Rica, we operate on a "think local, act global" mindset. Gambling.com Group is on the lookout for innovative, solution-driven, and fast-paced thinkers to join our growing team.
We have an opening for a BI Senior Data Engineer with a focus on providing accurate and consistent data for analysis. This person will have the opportunity to work with bespoke tools designed for data capture and processing that data into a state-of-the-art Data Warehouse, primarily using Python and AWS Technologies.
The person will be expected to perform and have a positive impact on a broad range of tasks, including but not limited to:
- Lead a team of Data Engineers.
- Mentor and guide the professional and technical development of team members.
- Oversee the Design, development, maintenance, and documentation of data processing scripts, ETL jobs, and Data Warehouse.
- Be responsible for internal and external audits and implement necessary changes to ensure compliance.
- Drive the continuous review and improvement of Data Engineering tools and capabilities.
- Collaborate with BI Tools, Data Science and Reporting Teams to ensure that Data Engineering tasks meet the needs of BI Teams as a collective.
- Communicate results of technical projects to both technical and non-technical users.
- Work with a globally distributed team and be comfortable with slack/zoom for meetings and communication and organising development tasks remotely.
Requirements:
- A Master’s Degree in Engineering, Computer Science or related field, or equivalent work experience.
- 8+ years of commercial development experience as a Data Engineer or in the Data Warehousing domain.
- Experience in similar position is a plus but not mandatory.
- Large scale delivery and data management experience
- Experience building and maintaining data processing pipelines, ETL/ETL processes
- In depth knowledge of data warehousing methodologies.
- Comfortable writing complex SQL.
- Experience working with a major Relational Database such as Snowflake, Oracle, Teradata, Redshift etc.
- Significant Experience of working with Python
- Experience of working effectively in a distributed team environment.
- Clear ability to work in teams, contribute to technical decisions and learn/suggest/assess new technologies.
- Ability to be a creative problem solver with a solution-focused attitude.
- Comfortable with Git
- Experience of working within an AWS architecture
- Experience of working with Airflow
- Possess a strong sense of ownership, urgency, and drive.
- Document all code and features for maintainability.
- Excellent written and oral communication skills in English.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Computer Science Data management Data warehouse Data Warehousing Engineering ETL Git Oracle Pipelines Python RDBMS Redshift Snowflake SQL Teradata
Perks/benefits: Startup environment
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