About the Client
Our client is eshop that distributes nutritional supplements to more than 15 countries around the world.
About the Role
For our client we are looking for a Head of Data engineering team who wants to be in charge of data warehouse and data architecture vision in the biggest e-commerce platform for 160 million fitness enthusiasts in the CEE region:
Our client is the fastest growing fitness company in Europe;
our tech stack serves 7M customers in 15 countries and we will deliver over 1.8M packages this year all over Central and Eastern Europe;
you are going to lead the fast-moving team of 4 data engineers.
About the company
6 teams and 30 people working in IT;
software developers, QA engineers, data engineers, product owners, delivery managers;
projects in our repo: 10x PHP, 10x JavaScript, 8x Android, 6x Python, 3x Node.js;
167 deploys last year and 900 575 lines of code in repos.
Responsibilities
- Maintain a vision of the data storage layer and data strategies, spearhead a transformative data movement, own the data storage infrastructure roadmap and build leading edge systems;
- Continuously expand our data warehouse and supply data marts to all departments across GymBeam to be used in data visualization tool;
- Design and implement optimal data pipeline architecture within GymBeam ecommerce platform;
- Build required infrastructure for optimal extraction, transformation and loading of data from various data sources;
- Collaborate with stakeholders across departments to understand organization’s evolving data needs;
- Lead the team of data engineers responsible for moving data through our data pipeline;
- Coach team members, lead their career growth, do code reviews;
- Automate internal manual processes, optimize data delivery, improve infrastructure for greater scalability;
- Employ the latest in data engineering in the team, drive innovation.
Requirements
Tech stack used on this team
- Python and SQL;
- Keboola and AWS;
- Gooddata and Kibana.
Requirements:
- Experience in a senior-level data engineering or data management role building and optimizing data pipelines, architectures and data sets;
- Strong understanding of data management fundamentals and data quality;
- Thorough understanding of the business and data strategy;
- Working knowledge in data management programming such as SQL and Python;
- Experience with ETL and data manipulation tools like Keboola or similar;
- Experience with some BI tool such as GoodData, Tableau, PowerBI or similar;
- Familiar with infrastructure automation and configuration management tooling;
- Leadership and communication skills;
- Technology enthusiast, data-driven person with growth mindset;
- Likes moving fast, getting things done, and delivering value;
- Interested in e-commerce, prizes learning and personal growth.
Nice to Have Skills
n/a