Senior Data Engineer
Belgrade, Serbia
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SMG Swiss Marketplace Group
Welcome to the official presentation of SMG Swiss Marketplace Group - Switzerland's leading digital hub which connects humans with its intuitive digital platformsCompany Description
Welcome to SMG Swiss Marketplace Group AGĀ
We are a pioneering network of online marketplaces and a leading European digital company that simplifies peopleās lives with forward-looking products.
A little bit about us to help ignite your imagination
SMG Swiss Marketplace Group AG came together following the merger of Scout24 Switzerland and TX Markets in 2021. A union which included some of Switzerlandās most well-known leading marketplaces.
Our exciting portfolio currently spans four business areas and includes Real Estate (immoscout24.ch, homegate.ch, ImmoStreet.ch, home.ch, Acheter-Louer.ch, Flatfox, Casasoft), Automotive (autoscout24.ch, motoscout24.ch), General Marketplaces (anibis.ch, tutti.ch, Ricardo.ch) and Finance and Insurance (financescout24.ch, Moneyland.ch).
At SMG Serbia, 130+ talents thrive in a fast-paced, collaborative environment, guided by our values: Better Together, Aim High, and Act Responsibly, shaping the future of digital marketplaces.
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?
Weāre 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, with a special focus on projects like Personalisation at Scale.
As part of our mission to unlock smarter data 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 are in place.
Specifically you will:
Build data tools that will be used across the company and by various other teams across different data domains
Design and develop the data integration pipelines for the collection, storage and transformation of our data assets in the data lake and DWH using GCP-native tools and technology
Ensure reliable operation and maintenance of the data infrastructure including orchestration of the cloud infrastructure, documentation, checks on data quality and operational efficiency
Contribute and help us build and improve data products (transformations, dashboards, logical data warehouse models etc.)
Support initiatives around personalisation, targeting, experimentation, and data activation across marketing channel
Collaborate across analytics, product, and ML teams to enable end-to-end data workflows and create datasets for ML readiness
Optimise cost-performance trade-offs across GCP services, enforce efficient partitioning, clustering, and storage practices in BigQuery
Setup data pipelines between Data Lake and Customer Data Platform providing real time data for personalisation and automation of communication between our business and our users
Validate, tracks and integrates data coming from different sources and use them to create analytics applications that are easy to understand and are highly scalable
Most importantly you will help build the Automotive data platform of the future and together with us you will be proud on what we deliver to the business
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Qualifications
What will you bring to the ride? š
Bachelorās degree in engineering, computer science, management information systems or equivalent
Have 5+ years of hands-on experience working with cloud platforms (GCP preferred) in relation to 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 dbt, Cloud Functions, Kafka streams etc.
Good knowledge of DevOps best practices and automation of documentation, testing, build, deployment, configuration and monitoring
Understanding of cloud based integration platforms that connect applications, systems and data sources (ElasticĀ preferred)
A broad history of best practices from your past roles as a Data Engineer
Ability to work independently and in decentralised teams, we work in Data Mesh so knowledge about it is an advantage
Who you are ā
You never repeat your tasks, but always drive for automation of processesĀ
You love to learn new things and excel in your day to day work
You enjoy working in a team, but can be independent and drive the project from start to finish
You are proactive, anticipate problems and propose improvements before they become blockers
You operate with high autonomy and accountability and drive work forward with minimal direction
You own and lead the design and delivery of key data initiatives, from problem discovery to production rollout and bring seniority through execution
You are excited by the idea of not just building pipelines but shaping how the entire company thinks about data
Additional Information
Recruitment ProcessĀ
We keep hiring simple and human:
Initial Video-Call with our RecruiterĀ
Meet the Hiring ManagerĀ
Technical Assessment
Team Fit ConversationĀ
At SMG, we value unique perspectives and believe in the potential of every individual. Together, we learn from one another, embrace differences, and drive real impact.
Benefits you'll love:
- Be a part of well established Swiss-based subsidiary in Belgrade
- We value work-life balance and employee happiness. Thatās why we grant you hybrid work environment, and 25 vacation days per year, with the option to buy another 10 days in an unbureaucratic process. You get 5 fully paid sick days per year, and another 5 days for special occasions
- Lots of team activities and perks
- 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
- Yearly budget for your personal development
Disclaimer
SMG Swiss Marketplace Group AGĀ primarily engages directly with candidates. 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.
About Us
SMG Swiss Marketplace Group AG. is a pioneering network of online marketplaces and cutting-edge European digital company that simplifies peopleās lives with innovative products.
SMG Swiss Marketplace Group AG. provides customers the best tools to meet their life decision needs. The portfolio includes Real Estate (ImmoScout24, Homegate, Flatfox, alle-immobilien.ch,Ā Immostreet.ch, home.ch, Publimmo, Acheter-Louer.ch, CASASOFT, IAZI), Automotive (AutoScout24, MotoScout24), General Marketplaces (anibis.ch, tutti.ch, Ricardo) and Finance & Insurance (FinanceScout24,Ā moneyland.ch).
The company was founded in November 2021 by TX Group AG, Ringier AG, La MobiliĆØre and General Atlantic.
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Disclaimer
SMG Swiss Marketplace Group AG primarily engages directly with candidates. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: BigQuery Clustering Computer Science Data pipelines Data quality Data warehouse dbt DevOps Engineering Excel Finance GCP Kafka Machine Learning ML models Pipelines Python SQL Testing
Perks/benefits: Career development Competitive pay Fitness / gym Team events
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