Data Engineer at SMG Swiss Marketplace Group

Belgrade, Central Serbia, Serbia -

Full Time

Start Date

Immediate

Expiry Date

29 Mar, 26

Salary

0.0

Posted On

29 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, Cloud Platforms, Data Pipelines, ETL, DWH Design Patterns, DevOps, Data Mesh, Data Integration, Data Quality, Machine Learning, Data Warehousing, Analytics, Automation, Documentation

Industry

Software Development

Description

Company Description Welcome to SMG Swiss Marketplace Group We are a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking products. A little bit about us to help ignite your imagination SMG Swiss Marketplace Group came together following the merger of Scout24 Switzerland and TX Markets in 2021. A union which included some of Switzerland’s 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, 140+ 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 Your mission 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 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.)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 Qualifications Bachelor’s degree in engineering, computer science, management information systems or equivalent Have 3+ 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, we use SQL in day to day work Solid analytical skills to support robust data engineering solutions Hands-on experience building data pipelines using dbt, Cloud Functions, etc. Solid knowledge of best practices when it comes to ETL/ELT and DWH design patterns Good knowledge of DevOps best practices and automation of documentation, testing, build, deployment, configuration and monitoring A 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 You never repeat your tasks, but always drive for automation of processes 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 Benefits you'll love Be a part of well established Swiss-based subsidiary in Belgrade We value work-life balance and employee happiness. That’s 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 LinkedIn Learning 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 Apply now with your CV in English. Feel free to send us any additional documents you think we should read to understand that you are the perfect fit. Disclaimer SMG Swiss Marketplace Group 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. #LI-Hybrid 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, Immostreet.ch, alle-immobilien.ch, home.ch, Publimmo, Acheter-Louer.ch, CASASOFT, IAZI), Automotive (AutoScout24, MotoScout24), General Marketplaces (anibis.ch, tutti.ch, Ricardo) and Finance & Insurance (FinanceScout24, moneyland.ch). Disclaimer SMG Swiss Marketplace Group AG 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.

Responsibilities

The Data Engineer will build scalable data products and design data integration pipelines while ensuring the reliability of data infrastructure. They will collaborate with various teams to create datasets for machine learning and optimize data workflows.