Join our commercial IT organization, which is an area that benefits from an increased focus and activity. As a Senior Data Engineer you will be supporting the continuous rollout and optimization of our global Data Foundation footprint in Microsoft Azure and other platforms.
You will work with Data Foundation developers and scientists, cooperating often with other teams inside and outside of Commercial Train.
Together you will develop and deliver solutions in rollouts, projects and high complexity demands.
responsibilities :
Execute deliverables in the agile team, incl. Daily Scrums
Provide technical expertise and support in case of system issues coming from projects
Provide consulting and advice on how to leverage existing system functionality in our processes
Safeguard development standards
Develop scalable solutions which are up to date with the newest technologies
Be a sparring partner for other colleagues and Architect to discuss complex problems
requirements-expected :
Experience with cloud based services and technologies (Microsoft Azure , Databricks)
Working knowledge of writing SQL and working with both relational and no-SQL dB’s
Proficiency in Python, R, Scala or another programming language
Proficiency in working with Azure DevOps, git and branching strategies
Knowledge of data modelling techniques and data pipeline technologies
offered :
Trainings with industry experts and a comprehensive induction program.
Financial support for ongoing education and professional development.
Flexibility in working hours and the option to work from home.
Medical care and life insurance coverage.
Employee Assistance Program offering legal, psychological, health, and financial consulting.
Additional perks like gym memberships, vouchers, travel points, and cinema tickets.
Home kit including a monitor, laptop, keyboard, mouse, headsets, and webcam.
Relaxation breaks to recharge and maintain work-life balance.
Relocation allowance for a smooth transition to our vibrant city.
Referral program for employees to earn rewards by recommending top talent.
Additional holiday days based on length of employment (up to 4 days).
