Mid-level Data Engineer

About the role

Are you ready to jump‑start your career in the exciting and innovative data engineering field? At SunnyData our mission is to help customers on their data journey to power their business. We believe a solid foundation—highly scalable architectures, robust pipelines, and accurate AI/ML applications—is the key to outstanding data‑driven results.

Key responsibilities

• Support new and existing customers with data‑engineering needs, guiding technical decisions to achieve their goals.
• Design, build, and operationalize complex data solutions, including transformations, cleansing, and quality improvements.
• Analyze data sources, assess their value, and recommend inclusion in analytical processes.
• Incorporate data governance, security, and quality best practices across solutions.
• Collaborate with internal and cross‑functional teams to deliver and educate on data products and analytic environments.

Required profile

• Highly motivated individual with a continuous‑learning mindset.
• Excellent time‑management and prioritisation skills.
• Strong verbal and written English communication.
• Familiarity with public cloud platforms such as AWS, Azure, or GCP.

Required skills

• Data‑engineering technologies: Spark, Hadoop, Kafka.
• Data‑science/ML tools: pandas, scikit‑learn, HPO.
• Data‑warehousing: SQL, OLTP/OLAP/DSS.
• Cloud platforms: AWS, Azure, GCP.
• Databricks data‑engineering or machine‑learning certification (nice to have).

What we offer

• Innovative environment working with cutting‑edge data‑engineering and AI technologies.
• Direct customer impact, helping businesses leverage data for strategic decisions.
• Opportunities for professional development and career advancement.
• Collaborative culture that values knowledge sharing and teamwork.