Data Engineering

Data Engineer We’re now looking for

Data Engineers

(junior, mid, and senior levels) who share our curiosity, discipline, and love for turning raw data into value.

As a

Data Engineer , you will:

Design, build, and maintain

data pipelines

for analytics and reporting.

Develop

ETL/ELT processes

that transform raw data into usable insights.

Work with cloud platforms such as

AWS, Azure, or GCP .

Collaborate with Data Analysts and Consultants to deliver integrated data solutions.

Optimize data infrastructure for scalability, performance, and cost efficiency.

Support the development of

data warehouses, data lakes, and BI platforms .

Implement data governance, quality, and security best practices.

Minimum Requirements (for all levels):

Strong understanding of

SQL

and data modeling concepts.

Hands‑on experience with

ETL pipelines

and/or data integration tools (e.g., Airflow, dbt, Talend).

Familiar with at least one programming language (Python, Java, or Scala).

Experience with

cloud data platforms

(AWS Redshift, Google BigQuery, Azure Synapse, Snowflake, etc.).

Strong problem‑solving and communication skills.

3+ years of professional experience in data engineering or analytics infrastructure.

Proven experience designing and maintaining production‑grade data pipelines.

Exposure to

CI/CD, containerization (Docker/Kubernetes) , or data orchestration.

Experience mentoring junior team members and/or working with consulting clients.

Why Join us:

Be part of an

early‑stage data consultancy

where your ideas directly shape the company’s future.

Work on

multi‑industry projects

with real business impact.

A

learning‑focused environment

that values growth, collaboration, and initiative.

Opportunity to

build data platforms from scratch

Competitive compensation.

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