Our Data Technologies Group plays a strategic role in enabling data-driven decision-making across the organization. We are looking for an experienced Data Engineering Group Manager to lead our Data Platform, Backend, and Infrastructure engineering teams and drive the evolution of our enterprise-scale data ecosystem.
In this role, you will be responsible for defining and executing the data engineering strategy, leading multiple teams, and delivering scalable, reliable, and cost-effective data solutions that support a wide range of business stakeholders.
You will oversee the development and operation of high-scale batch and real-time data pipelines, ingesting and processing data from diverse internal and external sources.
What you'll do
Manage teams of Data Engineers and QA members.
Take part in strategic decision-making for the Data Group.
Lead, coach, and support a team of Data Engineers.
Take full responsibility for the delivery of development and QA tasks assigned to the teams.
Develop a strong understanding of both team technologies and business requirements.
Work with high-scale databases and provide Backend Data solutions from the design phase through development and delivery.
Work with Data technologies such as Microsoft SSIS, Apache Airflow, DBT, Snowflake, Elasticsearch, Kafka/MSK, Flink, Spark, and more.
Optimize platform performance, operational efficiency, cloud utilization, and infrastructure costs.
Establish production monitoring, observability, alerting, and incident management practices to ensure high service reliability.
Work with various stakeholders and applications across the company.
Bring proven experience leading Data Engineering managers and engineers in a large-scale, production-oriented environment.
Demonstrate a deep understanding of modern Data Platforms, Data Warehousing, Data Lakes, Data Governance, and Data Architecture principles.
Bring strong experience with cloud-native data technologies and distributed data processing frameworks.
Have a proven track record of building, scaling, and operating mission-critical data platforms that serve diverse business needs.
Combine a strategic mindset with hands-on technical depth and strong execution capabilities.
Requirements
At least 3 years of experience leading Data Engineering team(s).
Experience with Data Backend development technologies such as SSIS, DBT, Airflow, Flink/Spark, and Elasticsearch.
Experience with a programming language such as Python, Java, or a similar language.
Familiarity with AWS Cloud Services.
Experience with CI/CD methodology.
Bachelor's degree in Computer Science, IS Engineering, or a related field.
Highly motivated and independent.
High level of English proficiency.
What we offer:
Our roles offer more than just a job; you’ll become part of the evoke family! We have created an environment where our people can thrive. Check out some of the fantastic benefits on offer:
Hybrid work model
Free parking in the building + free electric car charging
Broad collective health insurance (with options for family members and extensions)
Birthday gift + day off during your birthday month
Refer a friend – bonus or gift card
HitechZone membership
Gifts on holidays and life events
Ten Bis
More about evoke
We’re a business that embraces change and progress. The power behind big name brands William Hill, 888 and Mr Green, evoke is the new name for 888 Holdings. Marking a new sense of purpose, direction and ambition for the business, there couldn’t be a more exciting time to join us as we accelerate our journey to bring even greater delight to our customers with world-class experiences. That’s the future. That’s evoke.
At evoke, you’ll benefit from flexibility and a culture built on trust. We’ll give you the space to be yourself and the tools you need to protect our customers while they play. We’ll invest in your future to help you develop your unique strengths and build a career that’s right for you.
Apply
At evoke, we prioritize diversity, equity, and inclusion for the benefit of our company, employees, and communities. We foster a welcoming and safe workplace that values all forms of diversity and provides opportunities for growth.
Sounds good? Then you belong at our place! The first step in the recruitment process is kickstarting your application, followed by an initial screening call and an interview stage.
Apply today to kickstart your application with evoke!
Nice to have
At least 5 years of experience with ETL development in large-scale DWH environments such as Snowflake, BigQuery, Redshift, Azure, etc. Experience with Snowflake is an