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Data Engineer
Flawless Workflow
Remote · Nigeria Full-time Mid Level €30k – €45k/yr 1mo ago
About the role
About Flawless Workflow
Flawless Workflow builds Data & AI platforms that help organizations work smarter, serving clients ranging from housing associations and municipalities to manufacturing and construction companies. The team is 24 people — young, fast-growing, with no corporate layers or endless approval chains.
About the Role
As a mid-level Data Engineer, you'll build the data foundations that power BI dashboards and AI agents. A typical project starts with a client whose data is scattered across ERPs, CRMs, Excel files, and legacy databases. Backend developers handle the source connections; from there, you take over.
Responsibilities
- Designing and building the data warehouse layer in Postgres
- Creating and maintaining dbt models that transform raw data into clean and documented datasets
- Building dashboards that deliver real-time insights
- Collaborating closely with backend developers and machine learning engineers
- Continuously improving data quality, performance, and reliability across projects
Ideal Candidate Profile
- Someone who thrives on variety and real business problems
- Takes ownership from day one
- Comfortable communicating
- Enjoys working in a collaborative, knowledge-sharing team environment
Main Requirements
- 2–4 years of experience in data engineering or a closely related role
- Strong SQL and Python skills
- Experience with Postgres and dbt
- Experience with Power BI
- Bachelor's degree (or higher)
Benefits & Perks
- Variety across projects — every client brings different systems, structures, and challenges; no maintaining the same pipeline for years
- Direct impact — the platforms you build power real AI agents and dashboards used daily by clients
- Work at the intersection of data engineering and AI — not a traditional warehousing job
- Fast growth opportunities — in a team of 24, there's no waiting in line to take on more responsibility, lead projects, or deepen expertise
- Strong, collaborative team — backend engineers, ML engineers, and fellow data engineers who share knowledge and solve problems together
Skills
PostgresPythonSQLdbtPower BI
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