Data Engineer
Konnekt
11 Nov 2026
11 Dec 2026
Job Description
๐ WEโRE HIRING: Data Engineer ๐
๐ Location: Central Malta (Hybrid)
๐ฐ Salary: Up to โฌ42,000
๐ผ 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 Weโre 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):
- ๐ฅ Comprehensive Health & Life Insurance
- ๐ก Hybrid Work Model & Flexible Working Hours
- ๐ Continuous Learning & Professional Development Budget
- ๐ป Modern Tech Stack & Hardware Equipment
- ๐ Collaborative, Inclusive, and Growth-Oriented Culture
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