About Kindred
Kindred Group is a digital entertainment pioneer bringing together nine successful online gambling brands, forming one of the largest online gambling groups in the world. Our purpose is to transform gambling by being a trusted source of entertainment that contributes positively to society. Our goal is that 0% revenue is derived from harmful gambling.
Our global team of more than 2000 people represents 70+ nationalities. When you join Kindred, you’ll be part of a collaborative, diverse and inclusive team that has your best interest at heart. We are a trusting company that knows the value of a healthy work-life balance. We offer a wide range of benefits, along with annual bonus, which is tied to both company and your individual performance.

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The role
We are looking for a Lead Data Engineer to modernise our Corporate – Player Sustainability, Finance, Legal, and Regulatory data infrastructure, focusing on cloud technologies, next-generation data warehousing and Self-Serve Analytics
This role required expertise in working with data warehouse platforms, managing data pipelines and deliver end to end data engineering project. You will work closely with cross-function teams, designing and implementing scalable cloud solutions that seamlessly integrate and optimise business operations.

What you will do

• Design, develop, test, and support data-driven solutions while providing technical and design expertise.
• Lead and contribute to technical planning, requirements gathering, and the delivery of high-quality data products.
• Establish and enforce development best practices while mentoring team members and driving data governance policies across team.
• Solve complex architectural challenges by working collaboratively with architects, developing optimal solutions that span across multiple teams supporting your business domains.
• Stay current with emerging technologies and industry trends to ensure our data infrastructure remains cutting-edge.
• Be a pioneer in automation testing methods and tools to improve the quality of the data platform.
• Support and maintain data products, including on-call support & incident management, and by following up on solutions to the incidents; define metrics and measurements, proving the solution is optimal in the long term.
• Establish good relationships with your team and stakeholders, working in an Agile way with open communication.
• Be a consultant early on for new data projects and initiatives, working across different technical teams, architects to drive initiatives.
• Support Engineering Managers by proactively identifying skill gaps and help upskilling team members by developing and delivering training materials and leading training sessions.
• Conducting proof of concept (POC) evaluations of tools and technologies, and presenting findings to assist leadership in decision-making

Your experience

• Strong data engineering background, with experience in designing and building AWS cloud data lake, data pipelines, data warehouse and self-service solutions
• Experience delivering large-scale transformation projects with a focus on end-to-end data architecture
• Extensive experience with AWS services (S3, Redshift, Lambda) including data storage, computation, and security.
• Experience with BI tools such as Power BI, AWS Quicksight
• Familiarity with open-source data-stack tools (Airflow, DBT, Airbyte)
• Good understanding of software development best practices, CI/CD
• Experience in performance tuning and optimization.
• Strong experience with automation, testing, and CI/CD pipelines in data engineering.
• Excellent communication skills and the ability to influence decision-making across all teams and stakeholders.
• Previous leadership experience in technical projects, with a track record of leading teams effectively.

Our Way Of Working
Our world is hybrid.
A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.
Application Process
Click on the “” button and complete the short web form. Please add your CV and covering letter in English to let us know your motivation for applying and your salary expectation. Our Talent Acquisition team will be in touch soon. Kindred is an equal opportunities employer committed to employing a diverse workforce and an inclusive culture. As such we oppose all forms of discrimination in the workplace. We create equal opportunities for all our applicants and will treat people equally regardless of and not limited to, gender, ages, disability, race, sexual orientation. We are committed not only to our legal obligations but also to the positive promotion that equal opportunities bring to our operations as set out in our sustainability framework. Kindred has an ESG rating of AAA by MCSI.

• Design, develop, test, and support data-driven solutions while providing technical and design expertise.
• Lead and contribute to technical planning, requirements gathering, and the delivery of high-quality data products.
• Establish and enforce development best practices while mentoring team members and driving data governance policies across team.
• Solve complex architectural challenges by working collaboratively with architects, developing optimal solutions that span across multiple teams supporting your business domains.
• Stay current with emerging technologies and industry trends to ensure our data infrastructure remains cutting-edge.
• Be a pioneer in automation testing methods and tools to improve the quality of the data platform.
• Support and maintain data products, including on-call support & incident management, and by following up on solutions to the incidents; define metrics and measurements, proving the solution is optimal in the long term.
• Establish good relationships with your team and stakeholders, working in an Agile way with open communication.
• Be a consultant early on for new data projects and initiatives, working across different technical teams, architects to drive initiatives.
• Support Engineering Managers by proactively identifying skill gaps and help upskilling team members by developing and delivering training materials and leading training sessions.
• Conducting proof of concept (POC) evaluations of tools and technologies, and presenting findings to assist leadership in decision-makin