Job description
Location: Remote
Employment Type:Â Flexible â Open to freelancers, agencies, or full-time candidates
Why Join Us?
We are a leading provider of Business Intelligence in Innovation, Research & Development. Our platform helps enterprises uncover trends, track technology, and analyze competitors â easier, faster, and smarter.
â We prioritize expertise and results over location or contract type.
â Work from anywhere, ideally within European time zones to facilitate collaboration.
â Join a highly skilled, passionate team that thrives on data and innovation.
â Enjoy fair compensation, professional growth, and an engaging work environment.
About the Role
Weâre looking for a Senior Data Engineer to help us optimize SQL-heavy workflows, improve ETL processes, and streamline data pipelines. This is an opportunity for a highly experienced expert, freelancer, or agency to collaborate with us on an impactful level. While we offer flexibility in working arrangements, we are invested in a long-term collaboration with the right professional.
If you have deep technical expertise, a problem-solving mindset, and a proven ability to deliver results, weâd love to hear from you!
What Youâll Do
- Unify and optimize data infrastructure to enhance efficiency and maintainability.
- Redesign and streamline ETL workflows for improved scalability and performance.
- Ensure data integrity, reliability, and accessibility to support business needs.
- Optimize PostgreSQL queries and indexing strategies to improve system performance.
- Automate and orchestrate workflows using Python and Apache Airflow.
- Act as a subject-matter expert, guiding the team on best practices in data engineering.
What Weâre Looking For
Must-Have Skills:
â Expertise in SQL and PostgreSQL, with a strong focus on query optimization.
â Hands-on experience in ETL pipeline design, data transformation, and workflow automation.
â Proficiency in Python for scripting and automation.
â Deep knowledge of Apache Airflow for orchestrating data workflows.
â Strong understanding of data cleaning, deduplication, and integration best practices.
â Ability to collaborate effectively within European time zones.
Bonus Skills (Nice to Have):
+ Experience with document databases for handling large-scale data.
+ Strong problem-solving skills and ability to troubleshoot data issues.
+ A good sense of data architecture best practices for efficiency.
Your Background
5+ years of experience in data engineering, working with SQL-heavy workflows, ETL pipelines, and PostgreSQL-based systems.Â
If you're a highly skilled expert, freelancer, or agency looking for a long-term collaboration in a cutting-edge company:
reach out to us: hr@mapegy.com