Data Engineer

Job description:

We're looking for a data engineer for a Swedish client to join a team within Energy Monitoring (Sustainability).
Tasks include:
Secure Data Inflow: Ensure that incoming data is safe from unauthorized access or tampering.
Validate Data: Check the authenticity, quality, and completeness of incoming data, fixing any errors or gaps.
Establish Validation Gates: Set up checkpoints to verify data integrity and consistency.
Monitor and Alert: Keep an eye on data streams and receive automatic alerts for any anomalies or issues.
Create Visual Interface: Develop and maintain a user-friendly interface for easy data interpretation.
Ensure Data Accessibility: Make sure that stakeholders can access the data securely and reliably.
Support Onboarding: Assist new countries in adopting consistent naming conventions and validation rules for smooth integration.
We'd like to see experience from:
Database Management: Strong understanding of SQL for relational databases and familiarity with NoSQL databases like MongoDB.
Big Data Tools: Experience with BigQuery and other tools for processing and analyzing large datasets.
Cloud Platforms: Knowledge of GCP (Google Cloud Platform) or/and Azure for data storage, processing, and analysis.
AI Awareness: Understanding of AI concepts and its applications in data analysis.
Machine Learning: Familiarity with machine learning algorithms and techniques for predictive analytics.
Programming Proficiency: Programming skills, particularly in Python, for data manipulation and analysis.
Data Visualization: Ability to create visually appealing and informative reports using tools like Power BI.
Duration: 14-Mar-2024 
- 28-Feb-2025 (DL 8.3)
Location: Preferably Malmö (onsite 1-2 times on weekly basis, remote possible)
More info tiina.hapuoja@witted.com (EN / FI)