Data Engineer (Python / SQL / Databricks)

Job Description

Qualifications

Must have:

• Strong experience in Data Engineering (design, implementation, operation of data pipelines)

• Hands-on experience with modern data platforms (Databricks, Snowflake, Redshift or similar)

• Solid SQL skills and experience with relational databases (Oracle, PostgreSQL preferred)

• Strong Python skills for data processing and automation

• Experience with ETL/ELT pipelines and data modelling for analytics

• Experience working with version control (Git) and CI/CD pipelines

• Understanding of REST APIs and data integration patterns

• Structured, ownership-driven mindset with strong problem-solving skills

• Professional proficiency in English

• Experience with Azure DevOps, Jira, or similar tools

• Experience with BI and visualization tools (Power BI, Plotly Dash)

• Knowledge of frontend technologies (TypeScript, Angular, React)

• Experience with NoSQL databases (e.g., MongoDB)

• Experience optimizing dashboards or working with advanced analytics use cases
  
  At Accesa:

• We nurture genuine connections, encourage an active lifestyle, and support the development of a healthy mindset. Our benefits programme is inspired by Maslow’s hierarchy of needs and is designed to prioritise your overall wellbeing.
  
  To live a wholesome experience inside and outside our offices, we need to take care of our overall wellbeing, from the physical aspect to creating a healthy work-life fusion and looking at learning as a lifelong journey and a shared responsibility between our people and our organisation.

• Physical Wellbeing:Our wellbeing program includes medical insurance, In-house fitness trainer available remotely and 1 on 1 remote sessions with our Sports and Health Coach focused on nutrition counselling and tailored training plans.

• Work-Life Fusion -Start with at least 21 vacation days (based on seniority) and earn 1 extra day for each completed year of collaboration — up to 29 days — depending on your tenure in the company and/or industry. Enjoy the flexibility to work from both home and the office.

• Growth opportunities:we focus on long-term learning programs that develop both technical and non-technical skills incrementally. Together with your Career Coach you will discuss what are learning resources and platforms you can access in order to develop your skills.