Lead Data Designer

For our client, SSC operating in the retail industry, we are looking for candidates for the position of Lead Data Designer.

What’s in it for you as a professional in Group Data?

• Be a pioneer, get in right at the beginning of our journey and establish our culture and ways of working.
• Its all new stuff! No legacy BI to own.
• Use the latest technology in a truly agile, product orientated deliver environment.

What we expect

• ideally around 4-5 years of previous Big Data / Data Warehouse data modelling experience, including data change programmes or data platform build initiatives in relevant industries
• demonstrable experience and expertise in modelling large complex data solutions
• experience in leading small data design teams,
• SQL expertise and experience with other modern data tools,
• expertise in Kimball and other data modelling techniques,
• a results-oriented mindset with an eye for detail and a passion for data.

Employment agency entry number 47

What we offer

• hybrid working model
• employment contract
• private medical healthcare at LUXMED (including dentalcare) for you and your family
• medicover sports card,
• life insurance financed by the employer,
• 30-minute lunch break included in the 8-hour working day,
• work in a highly professional and stimulating atmosphere,
• training & Buddy programme that will allow you to quickly adapt to your new role,
• wellbeing programme for employees,
• co-financing of monthly tickets for the public transport in Krakow,
• comfortable working environment in the office and the possibility of home office,
• language courses, accounting courses, access to LinkedIn Learning and the possibility, of co-financing studies and certification,
• employee referral programme.

Your tasks

• managing and mentoring more junior design resources,
• working with the Data Solutions Design manager to identify key areas of focus, resolve key issues and liaise with Solutions and Enterprise architects as needed,
• working with systems and business SMEs to gather requirements,
• working with the Solutions Architect, source system and business SMEs to understand data structures and usage, including data refresh cadence, any cleansing /transformation logic, volume of history retention, etc.,
• gathering business requirements and enhancing with technical details and creation of the Source-to-Target mapping document that is used by Data Engineers for implementation,
• documenting data quality rules to be incorporated as part of the build process, with expected behaviour of the product to various outputs from those rules,
• working closely with Solution Architects, Data Architect and Data Engineers to define data harmonisations rules and best modelling approach to satisfy business needs,
• working with the PO to create user stories with agreed definition of done.