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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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