Microsoft Fabric Data Engineer
Описание на позицията
AppGreat is one of the fastest growing global IT companies, supporting the highest tech organizations in the world with 6 offices: 1 in Sofia, 1 in Skopje, 1 in Bucharest, 1 in Tel Aviv, 1 in Chisinau and 1 in Warsaw.
We are working with top talents and highly experienced management to ensure the world’s leading technology companies meet all the business challenges that the future holds.
We are AppGreat! We are a young and ambitious company like no other!
WHY JOIN OUR DREAM TEAM?
The most important part of AppGreat is the team. From our founders to the last person, we are committed to creating a pleasant environment and a place where everybody feels like they belong.
We invest in them in any way we can, starting from the amazing atmosphere in the office, unique benefits and career growth opportunities.
We are looking for a Data Engineer, strong experience with SQL, along with exposure to Microsoft Fabric, to support data ingestion, transformation, and analytics initiatives. This role is ideal for someone who wants to grow in a modern data environment and work closely with BI, analytics, and engineering teams on real production data.
YOUR MISSION:
- Develop and maintain SQL queries, views, and data transformations
- Build and support data pipelines using Microsoft Fabric (Lakehouse, Data Factory, Synapse components)
- Ingest and prepare data from multiple sources for reporting and analytics
- Optimize SQL queries for performance and reliability
- Assist in ensuring data quality, consistency, and validation
- Support BI and analytics teams with accurate and timely data
- Document data pipelines, models, and technical processes
- Collaborate with cross-functional teams to understand data requirements
WHAT YOU WILL BRING TO THE COMPANY:
- 3 years of hands-on experience in a data-focused role (Data Analyst, Data Engineer, Data Specialist, or similar);
- Strong experience in SQL (joins, aggregations, queries, window functions);
- Experience working with relational and analytical data models;
- Understanding of ETL / ELT processes;
- Hands-on experience with Microsoft Fabric or strong exposure to its core components: Lakehouse and OneLake, Data pipelines / Data Factory, and Data transformations and ingestion;
- Proficiency in Python;
- Familiarity with integrating Fabric datasets with Power BI;
- Bachelor’s degree in Data Science, Computer Science, or related degree.
- Bachelor’s degree in Data Science, Computer Science, or related degree;
OUR COMMITMENT TO YOU:
- Attractive remuneration package.
- Working style – Hybrid
- Flexible Working Hours: We care about results, not when you clock in, depending on the team working schedule.
- Comprehensive Private Medical Insurance: Your health matters to us (UNIQA)
- Annual leave starting with 20 days up to 25 days(depending on the relevant experience).
- Plus an extra day off to celebrate your birthday 🎉.
- Multisport Card: Stay active with a subsidized membership, courtesy of AppGreat .
- Netflix or Spotify Subscription: Your choice, fully covered by us for your entertainment and relaxation.
- Monthly Food Vouchers.
- Office Snacks & Treats: Fresh fruits, nuts, coffee, sweets, and protein bars always stocked.
- Team Events & Offsites: Regular team buildings and company events to keep the good vibes going.
- Learning & Development: Access to training programs to boost your skills and career.
- Career Growth Opportunities: Grow with a fast-scaling, innovation-driven company.
- Supportive Culture: Work with a young, motivated, and close-knit team.
- Modern Office in Prime Location: Our office is right next to Paradise Mall in Sofia—easily accessible and surrounded by great spots .
We believe great work starts with great people. If this feels like the right place for you, we’d love to connect.
@AppGreat we appreciate every application we receive. Please note that only candidates selected for the next stage of the recruitment process will be contacted. If your profile matches the role, our Talent Acquisition team will reach out to you directly.
¿Te interesa este puesto?