Data Engineer

Konnekt

Swatar, Malta Full Time
Posted

11 Nov 2026

Closes

11 Dec 2026

Job Description

๐Ÿš€ WEโ€™RE HIRING: Data Engineer ๐Ÿš€

๐Ÿ“ Location: Central Malta (Hybrid)

๐Ÿ’ฐ Salary: Up to โ‚ฌ42,000

๐Ÿ’ผ Employment Type: Full-time

Are you an analytical problem-solver passionate about designing robust data pipelines and transforming complex datasets into reliable, actionable insights?

We are looking for a Data Engineer to join a forward-thinking, data-driven team. In this role, you will take ownership of the end-to-end data lifecycle, architecting, building, and maintaining scalable ETL/ELT pipelines, optimising data models, and ensuring our analytics and reporting platforms run on high-quality, dependable infrastructure.

Key Responsibilities

  • Pipeline Architecture: Design, build, test, and maintain robust, scalable ETL/ELT data pipelines from a wide variety of sources.
  • Data Modelling & Storage: Architect and optimise data warehouses, data marts, and relational/NoSQL databases for high-performance querying and analytics.
  • Data Quality & Governance: Implement automated data validation, cleansing, and monitoring frameworks to safeguard data integrity and compliance.
  • Cross-Functional Collaboration: Partner closely with BI analysts, data scientists, software engineers, and product stakeholders to deliver clean, structured data for business decisions.
  • Performance Tuning: Monitor system performance, optimise query execution, and ensure infrastructure reliability and scalability.

What Weโ€™re Looking For:

  • Proven Experience: Solid background in data engineering, database administration, or data warehousing.
  • Strong Tech Stack: Proficiency in SQL and Python (or Scala / Java) for data manipulation and pipeline development.
  • Tools & Frameworks: Hands-on experience with ETL/ELT tools, orchestration systems (e.g., Apache Airflow, dbt), and modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
  • Cloud & Infrastructure: Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization technologies is a strong advantage.
  • Mindset: Proactive trouble-shooter with sharp attention to detail and a passion for data quality.

What We Offer (Benefits):

  • ๐Ÿฅ Comprehensive Health & Life Insurance
  • ๐Ÿก Hybrid Work Model & Flexible Working Hours
  • ๐Ÿ“š Continuous Learning & Professional Development Budget
  • ๐Ÿ’ป Modern Tech Stack & Hardware Equipment
  • ๐ŸŒŸ Collaborative, Inclusive, and Growth-Oriented Culture

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