DATA ENGINEER

Join our Team Our Exciting Opportunity   As the company at the forefront of the creation of the mobile world, and with more than patents to our name, we’ve made it our business to make a mark.
Being part of Ericsson empowers you to learn, lead and perform at your best, shaping future technology.
Ericsson is an inclusive employer where you are recognized for the skills, talent, and perspective you bring to the team.
Within the Solution Area Cognitive Network Solution (SA CNS), we offer the opportunity to collaborate with highly qualified teams and to enable success stories for our customers.
You will be exposed to groundbreaking technology (5G, ML/AI, Automation and Cloud computing) and support the delivery of multiple data projects from our customer base and internal requirements.
You need to have the ability to perform hands-on data engineering tasks independently coupled with the appropriate testing.
Are you ready to write the future with us? What will you bring.
A degree in Computer Science, Data Science, or a related technical field.
A minimum of 2-3 years of experience as a Data Engineer or in a similar role, with proven expertise in delivering data-driven technology solutions.
Demonstrated experience in data modeling, scalable ETL development, data lakes, and data warehousing.
Proficiency in working with relational databases, including design, manipulation, and query execution.
Strong programming skills with experience in languages such as Python, Java and familiarity with ETL tools like Prefect, Argo or similar orchestration tools.
Experience with BI and data visualization tools (e.
., Tableau, Power BI, Looker or Grafana).
A proven ability to quickly adapt to emerging technologies, concepts, and approaches.
Strong analytical skills, with excellent written and verbal communication abilities.
Experience with cloud platforms (e.
., AWS, Google Cloud, Azure) and cloud-native development is highly desirable.
Experience in implementing machine learning pipelines and working with big data technologies (e.
., Apache Spark, Hadoop).
Knowledge of DevOps practices and CI/CD pipelines.
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes What will you do?   Design, develop, and optimize end-to-end data pipelines to ensure robust and efficient data delivery to our product development teams.
Collaborate with cross-functional teams to architect scalable, secure, and high-performance technology solutions that meet business needs.
Lead the creation and implementation of data collection, processing, and quality assurance frameworks, working closely with research and development teams.
Independently design and implement initiatives to enhance the performance and architecture of data workflows, ensuring data accessibility and fit-for-purpose availability to teams.
Develop and maintain automated data quality checks, metrics, and ETL (Extract, Transform, Load) workflows.
Take ownership and share responsibility for the implementation, dissemination, and adherence to industry-standard Data Engineering methodologies, processes, and principles.
Support strategic initiatives related to data management and governance as part of the data roadmap.
Provide comprehensive documentation and guidelines throughout the delivery cycle.
Communicate technology deliverables effectively in both technical terms and plain English, with a focus on R&D.