Senior Data Engineer (m/f/d)
Mentoring | Coaching | Data Engineering | Data Analytics | AWS | PySpark | Remote within listed countries
At TecAlliance, IT and automotive specialists collaborate to digitize the automotive spare parts market. We are not just witnessing the future of the market together - we are shaping it. More than 900 colleagues work tirelessly across 140 countries, and the numbers are growing. We are owned by 34 automotive companies such as Bosch, Continental, or ZF and take pride in connecting all data for them.
Become part of a great team!
Our Information Management division, TecAlliance Data Factory, plays a crucial role by sourcing and standardizing automotive aftermarket data worldwide. We excel in harmonizing diverse standards from different countries' transport authorities and data providers, transforming raw data into a universally accessible 'gold standard.' This standardized data forms the cornerstone of our core business.
As a Senior Data Engineer (m/f/d) in our Information Management department, you are part of a cross-functional and diverse team of IT and data-engineering professionals. You will coach and mentor data analysts and engineers, fostering knowledge exchange, to enhance digitalisation in data production and customer services in automotive aftermarket.
Your main responsibilities:
- Act as a coach and mentor for a team of Data Engineers and Data Analysts, providing solution-oriented advice and technical coordination.
- Ensure compliance with guidelines, framework conditions, and maintain data quality, integrity, and security across all data pipelines and storage systems.
- Design, build, and maintain scalable data pipelines and infrastructure to support data processing, ETL workflows and analytics.
- Stay updated with industry trends and best practices in data engineering to drive knowledge and continuous improvement initiatives.
- Consult and collaborate with internal stakeholders in the context of project management.
Your profile:
- Bachelor's degree in Computer Science, Engineering, or related field.
- 5 years of experience in data engineering, with a strong track record in designing and implementing scalable data solutions.
- Familiarity with industry patterns and practices in cloud-based data engineering (data warehousing, data lake and analytics platforms).
- Proficiency in AWS data engineering stack, including PySpark for data processing, AWS Step Functions for workflow automation and scheduling, and other relevant AWS services.
- Strong understanding and hands-on experience with database technologies, including SQL and NoSQL databases.
- Strong analytical and conceptual skills, and a highly structured work approach.
- Strong sense of responsibility and accountability.
- Proven ability to troubleshoot issues and find practical solutions.
- Experience in coaching and mentoring others, and ability to understand and empathize with team members, fostering a positive and supportive work environment.
- Effective communication skills for conveying complex technical concepts to appropriate audiences.
- Business fluent in English, German language is a plus.
Benefits
Contract & Salary
📕 Contract title: your position is part of our job profile “Senior Data Engineer (m/f/d)”. Our generic job profiles compare groups of employees with similar tasks that are part of the same area of responsibility/team. The displayed title above ensures that you can find us.
Location-independency & flexibility stay with us:
💯 Full Remote* or hybrid: we work 80-100% remotely; however we have regular on-site team events.
🚀 Structured Onboarding: you receive an individual onboarding plan, have multiple onboarding days in the beginning, and a wealth of e-learning, training, and documentation besides your team at your disposal
👩💻 Set-up: for this we will provide you with a tailored tech set-up (Dell devices, the standard remote package includes a notebook, 2monitors, headset, mobile phone, mouse + keyboard, docking station)
⚖️ Balance job & life: Flexible working hours: you decide where and when you work
🎯 OKRs instead of micromanagement: our OKRs ensure that our leadership style is based on results, not the process. Or in other words, we practice extreme ownership.
Culture:
❤️🔥 Kununu Top Company 2023: we´re proud to state that our score currently sits at 4,2/5 score with an 85%+ recommendation rate
🧬 We value ownership, cooperation, entrepreneurial thinking & and self-reflection in order to communicate effectively as ONE team
🎟️ Team culture is Key! We have fun at work and beyond: There is always something to celebrate and regular team events.
🦄 Come as you are - do you prefer T-shirts over a shirt? Great.
✨ Your contribution matters: shape our value-driven culture and agile transformation together with your colleagues – we´re curious, want to go one step further, build further trust together, and join forces to tackle our challenges as a team
* Please note
- that TecAlliance can only consider candidates for employment who are legally authorized to work in a country listed in the job posting, where we have an established legal entity and payroll system. Unfortunately, we are currently unable to hire candidates who require relocation, visa support, or are located outside of that country. Of course you can apply, if you hold a work permit and are willing to / or already moved to the country. Thank you for your understanding.
- that it is not possible to work outside of the country you are applying for. Meaning that, if you apply e.g. for Spain, you must work from within Spain. It is not possible to work from abroad. You can work at any location within the borders of the listed country, unless the job posting specifies a certain City.
- Department
- Information Management Digitalisation Tools
- Role
- Data Analytics & Data Science
- Locations
- Spain Remote, Tenerife, Netherlands remote, Italy Remote, Heerlen, France Remote, Barcelona, Paris
- Remote status
- Fully Remote
- Employment type
- Full-time
About TecAlliance
Helping our customers to sell more parts & make things easier with our data and solutions based on our globally leading data standards
Senior Data Engineer (m/f/d)
Mentoring | Coaching | Data Engineering | Data Analytics | AWS | PySpark | Remote within listed countries
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