Data Engineer
Quick Summary
At Ericsson Nikola Tesla, we don’t just follow technology—we shape it. With nearly 3000 professionals, mostly from STEM fields, we’re a powerhouse of innovation built on over 75 years of experience.
At Ericsson Nikola Tesla, we don’t just follow technology—we shape it. With nearly 3000 professionals, mostly from STEM fields, we’re a powerhouse of innovation built on over 75 years of experience. As the region’s leading R&D center and a leading exporter of software development services, we blend deep expertise with bold ideas—lighting the way toward a more connected, secure, and intelligent future. Beyond our cutting-edge ICT solutions in the telecom sector, we’re also shaping the future in healthcare, transport, public services, and multimedia. Our innovative technologies make a real difference—enhancing everyday life and delivering meaningful value to communities.
We’re a group of passionate software engineers working with diverse technologies, always eager to share knowledge and support new team members. We build modern applications for telecom operators worldwide. Join our team as a Data Engineer and work with cutting-edge technologies, contribute to impactful projects, and continuously grow your skills in a collaborative environment.
Responsibilities
~1 min read- →Develop and maintain ETL/ELT pipelines using tools like SSIS, Talend, Informatica, or custom SQL/Python solutions
- →Design and optimize data pipelines for performance, scalability, and reliability
- →Integrate data from multiple sources (APIs, databases, and flat files)
- →Build and maintain data models and data marts to support BI reporting
- →Create dashboards and reports using Power BI, Tableau, or similar tools
- →Implement data quality checks and validation routines
- →Collaborate with cross-functional teams to deliver reliable and actionable data
- →Document workflows and ensure proper version control and CI/CD practices
- Hands-on experience with any relevant ETL tool (SSIS, Talend, Informatica, Apache NiFi, etc.)
- Strong SQL skills
- Solid understanding of data warehousing concepts and dimensional modeling
- Experience with cloud-based data platforms (Azure Data Factory, AWS Glue or GCP Dataflow)
- Familiarity with version control systems and CI/CD pipelines
- Strong problem-solving skills and attention to detail
- Good communication and documentation skills
- Interest in system design and a desire to grow toward data architecture
Nice to Have
~1 min read- Experience with SAP data solutions
- Programming experience
- Exposure to Snowflake
- Familiarity with data architecture concepts or large-scale system design
What We Offer
~2 min readLocation & Eligibility
Listing Details
- First seen
- May 5, 2026
- Last seen
- May 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 52%
- Scored at
- May 6, 2026
Signal breakdown
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