• Build & Maintain Pipelines: Design, build, and operate end-to-end data solutions , including both real-time and batch data pipelines. Ensure data flows correctly across architectures, from raw ingestion to modeling-ready layers. • Cross-Cloud Engineering: Leverage expertise across multiple cloud environments to build robust data ecosystems, whether utilizing AWS (S3 and core cloud services) , GCP (BigQuery and Google Cloud Storage) , or Azure (Databricks). • Automate & Orchestrate: Use deep knowledge of Apache Airflow for scheduling, orchestrating, and monitoring workflows. Build software services and automate processes using strong Python development skills. • Advanced Data Modeling: Apply the correct methodologies (Kimball, Inmon, Data Vault) to design Star Schemas, Semantic Models, and highly optimized platforms.

• Be a data visionary, anticipating future data needs • Influence AI model training through high-quality data • Own data end-to-end: sourcing, structuring, scaling • Source and curate multimodal data (text, video, images) • Master video data challenges for ML training • Optimize labeling and automation workflows • Unlock value from internal platform data • Balance speed with precision

We are TecAlliance — founded by more than 30 automotive aftermarket companies as a neutral Data‑as‑a‑Service market connector, serving as the neutral data terrain that interconnects them. With over 1,000 employees worldwide and customers in 140 countries, we enable the market — we never compete with it. 📍In this position, you will become part of our Information Management Digitalization Tools Team The team acts as the internal IT service provider for the TecAlliance Information Management Digitalization Tools. They are a diverse, global team of 40+ professionals across Europe and Vietnam. They work in small, agile teams, continuously improving how they deliver value. Their mission: support the IM Data Factory by delivering robust IT solutions, optimizing processes, and reducing manual effort in the critical process of capturing and standardizing vehicle technical data. The global data platform, built on AWS technologies like Glue and DataZone, designed to process hundreds of data flows that are critical to our products and customers. Now they're looking for Senior Data Quality Engineer (m/f/d). In this role, you will close the critical gap between Data Engineering and QA by driving an overarching QA strategy and implementing automated test data and quality management practices that enable reliable, scalable, and production-ready data pipelines across all projects. You’ll help shape how we validate data flows end-to-end - and thereby enabling a faster, safer delivery. Your responsibilities will include - Designing and implementing an automated testing framework for complex data processing pipelines. - Developing and maintaining a strategy for managing test data across various data flows and environments. - Preparing test environments by provisioning test data and setting the system to the correct state for execution. - Executing data flows and validate the results against expected outcomes. - Collaborating with data engineers to integrate testing into existing pipelines and workflows. - Applying tools to automate checks for data quality and consistency. Your Profile - Degree in Computer Science, Software Engineering, or a related field is highly welcomed. - Significant recent experience in testing data-driven systems, ideally in roles focused on data quality, data engineering or data platform testing. - Solid experience with testing ETL and data processing pipelines, including validation of complex data transformations. - Deep understanding of test data management in complex, dynamic environments, including strategies for provisioning, maintaining and automating test data across multiple flows. - Familiarity with AWS services such as Glue / Glue Data Quality, S3, Athena and DataZone. - Ability to orchestrate multi-step test processes across systems and environments. - Hands-on experience with data quality tools (e.g.: AWS Glue Data Quality / Great Expectations). - Fluency in English (C1), German, Dutch or Spanish is a plus. If you feel you can fulfil the demands of this role but do not meet all of the criteria above, we still encourage you to apply. Applications will be reviewed on their merit, please elaborate on why you feel you would be a good candidate for this position in your application. We kindly ask you to send in an English CV only. Thank you. Benefits We offer a wide range of benefits. As our positions are advertised in various locations the benefits may vary. Therefore, below you will only find those that apply to all locations—for details, please speak to the recruiter, who will be happy to answer your questions. Contracts, Salary, and non-monetary benefits 💯 Remote work: 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. Culture ❤️‍🔥 Kununu Top Company since 2022: 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 Germany, you must work from within Germany. 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. - 📕 Contract title: your contract title is “Senior Data Quality Engineer”. Please only apply with your CV (in English only) via the system. Applications outside of our applicant tracking system cannot be considered due to GDPR.

MediaRadar, An Industry Leader in Marketing Intelligence now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our next-generation marketing intelligence platform enables clients to achieve peak performance with always-on insights that span the media, creative, and business strategies of 5 million brands across 30+ media channels and 275 billion in media spend. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business. About the Role We are looking for an experienced and strategic Senior Data Engineer to join our data team. In this role, you will be responsible for building and maintaining scalable, high-performance data solutions using Azure Databricks, Apache Spark, AKS, Airflow, Postgres, and modern data lakehouse architectures. You’ll play a key role in the full software development lifecycle—from design and implementation to deployment and documentation—while collaborating cross-functionally to support analytics, reporting, and operational data needs. This is an exciting opportunity to work along with a great team of data engineers, demanding technologies and an engaging work environment to help shape our data engineering best practices.