Senior Data Engineer

Job Description

Are you a curious and motivated Data Engineer eager to build scalable data products that power meaningful user experiences? Do you thrive in cross-functional environments and enjoy bridging the gap between data, product, and marketing?

We’re looking for a proactive and impact-driven Data Engineer to join our dynamic data team, composed of Data Engineers, Analysts, Scientists, Digital Specialists, and Product Owners.

You will play a key role in shaping and delivering initiatives at the intersection of data, product, and marketing. As part of our mission to unlock smarter data-driven decision-making and tailored user experiences, you will collaborate with experts across data, engineering, product, and marketing to ensure robust, efficient, and future-proof data pipelines and ML models.

Specifically, you will:

• Build data tools used across the company and across different data domains.

• Design and develop data integration pipelines for collecting, storing, and transforming data assets in the data lake and DWH using GCP-native tools and technologies.

• Ensure the reliable operation and maintenance of data infrastructure, including cloud infrastructure orchestration, documentation, data quality checks, and operational efficiency.

• Contribute to building and improving data products, including transformations, dashboards, and logical data warehouse models.

• Support initiatives around personalisation, targeting, experimentation, and data activation across marketing channels.

• Collaborate with analytics, product, and ML teams to enable end-to-end data workflows and create ML-ready datasets.

• Optimise cost-performance trade-offs across GCP services and implement efficient partitioning, clustering, and storage practices in BigQuery.

• Set up data pipelines between the Data Lake and Customer Data Platform, providing real-time data for personalisation and automated communication between our business and users.

• Validate, track, and integrate data from different sources to create scalable, easy-to-understand analytics applications.

• Help build the Automotive data platform of the future and deliver solutions that make a meaningful impact on the business.

Qualifications

What will you bring to the ride? 

• A bachelor’s degree in Engineering, Computer Science, Management Information Systems, or an equivalent field.

• 5+ years of hands-on experience working with cloud platforms, preferably GCP, covering data ingestion, processing, warehousing, monitoring, orchestration, and modelling.

• Strong proficiency in SQL and Python, with solid analytical skills to support robust data engineering solutions.

• Hands-on experience building data pipelines using tools and technologies such as dbt, Cloud Functions, and Kafka Streams.

• Good knowledge of DevOps best practices and the automation of documentation, testing, building, deployment, configuration, and monitoring.

• An understanding of cloud-based integration platforms that connect applications, systems, and data sources; experience with Elastic is preferred.

• A strong understanding of data engineering best practices gained through previous roles.

• The ability to work independently and in decentralised teams. We work in a Data Mesh environment, so knowledge of this approach is an advantage.

Who you are 

• You look for opportunities to automate repetitive tasks and continuously improve processes.

• You love learning new things and strive for excellence in your day-to-day work.

• You enjoy working in a team but can also work independently and drive projects from start to finish.

• You are proactive, anticipate problems, and propose improvements before they become blockers.

• You operate with a high level of autonomy and accountability, moving work forward with minimal direction.

• You take ownership of key data initiatives, leading their design and delivery from problem discovery to production rollout, and demonstrate seniority through execution.

• You are excited by the idea of not just building pipelines but also shaping how the entire company thinks about data.

Additional Information

Why you'll love working here

• We value work-life balance and employee happiness. That’s why we grant you hybrid work environment, and 25 vacation days per year
• Private health insurance
• Lots of team activities and perks
• Free LinkedIn Learning & yearly budget for your personal development
• Profit Growth Scheme
• Company Phone (iPhone or Android)
• Cozy office space, with 80 parking spots
• Great equipment, competitive salary and a variety of fringe benefits like a gym membership and discounts at local stores
• International team and working environment of talented and fun people
• Stimulating work experience that will allow you to grow both professionally and personally

Apply now with your CV in English. Feel free to send us any aditional documents you think we should read to understand that you are the perfect fit.

About Us

SMG Swiss Marketplace Group is a pioneering network of online marketplaces and a cutting-edge digital company that simplifies people’s lives with innovative products.
SMG Swiss Marketplace Group provides customers with the best tools to meet their life decision needs. The portfolio includes Real Estate (ImmoScout24, Homegate, Flatfox, CASASOFT, IAZI), Automotive (AutoScout24, MotoScout24), General Marketplaces (anibis.ch, tutti.ch, Ricardo) and Finance & Insurance (FinanceScout24, moneyland.ch).

Disclaimer

SMG Swiss Marketplace Group primarily engages with candidates directly. We do not accept unsolicited resumes or candidate profiles from recruitment agencies unless we have specifically requested their assistance for particular roles. Any submissions made without a prior request from our Talent Acquisition team will not be acknowledged or considered. We appreciate the understanding and cooperation of recruitment agencies in respecting this policy.