Data Engineer

ALGOTEQUE is an IT consultancy firm that helps startups, mid‑sized and large corporations to create and deliver innovative technologies. Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e‑commerce. We deliver our services both in fixed‑price and time‑and‑materials models, helping our customers achieve their business and IT strategies.

We are looking for a Data Engineer to design, build, and optimize scalable data platforms and pipelines supporting analytics, reporting, and business operations. The role focuses on developing reliable cloud‑based data infrastructure, enabling efficient processing of large datasets, and ensuring high data quality across modern data environments.

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
• Develop and optimize data models and data warehouse solutions.
• Process and analyze large datasets to support business insights and decision‑making.
• Ensure data quality, integrity, and validation across data platforms.
• Optimize data collection, storage, and processing for scalability and performance.
• Collaborate with cross‑functional teams to identify and support data needs.
• Create dashboards, templates, and visualizations for stakeholders.
• Support experimentation and validation of data‑driven solutions.
• Contribute to data governance and continuous improvement initiatives.

• Advanced SQL and Python skills (Scala is a plus).
• Hands‑on experience with AWS cloud services.
• Experience with ETL/ELT pipeline development.
• Strong understanding of data modeling and data warehousing concepts.
• Experience with big data technologies such as Spark, Kafka, or Hadoop.
• Familiarity with orchestration tools like Airflow.
• Strong analytical, problem‑solving, and communication skills.
• Ability to work collaboratively across technical and business teams.

• Knowledge of manufacturing processes or industrial environments.
• Experience with reporting, dashboards, or data visualization tools.
• Familiarity with data governance and quality frameworks.
• Experience working in Agile environments.