Lead Data Engineer

Gambling.com Group; United Kingdom; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An innovative company in the online gambling industry is seeking a BI Senior Data Engineer to enhance data accuracy and consistency. This role involves leading a team, developing data processing pipelines, and collaborating with various teams to meet BI needs. With a majority remote-first hybrid work model, you will have the flexibility to work from anywhere while contributing to a global team. If you have a passion for data engineering and a solution-focused mindset, this opportunity offers a chance to make a significant impact in a fast-paced environment.

Qualifications

• 8+ years of commercial development experience as a Data Engineer.
• In-depth knowledge of data warehousing methodologies and ETL processes.

Responsibilities

• Lead a team of Data Engineers and mentor team members.
• Oversee design, development, and maintenance of data processing scripts.

Skills

Python

SQL

Data Warehousing

ETL Processes

AWS

Git

Airflow

Education

Master's Degree in Engineering or Computer Science

Tools

Snowflake

Oracle

Teradata

Redshift

Job description

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.