Senior Data Engineer
WFA Digital Insight
As the demand for data-driven insights continues to grow, companies like Globaldev Group are looking for skilled Senior Data Engineers to drive innovation. With a focus on renewable energy, this role offers a unique opportunity to work on complex industrial data and develop smart, reusable models. According to recent trends, the demand for data engineers with expertise in Azure and Databricks has increased significantly, making this role a great fit for those with a strong engineering mindset. Before applying, candidates should be prepared to demonstrate their experience with machine learning workflows and anomaly detection, as well as their ability to work independently in a cross-functional environment.
Job Description
About the Role
The Senior Data Engineer role at Globaldev Group is a key position in the company's innovative project for a prominent European renewable energy company. As a Senior Data Engineer, you will be responsible for designing and scaling a cross-business anomaly detection solution for complex industrial data. This role requires a strong engineering mindset, the ability to work independently, and excellent communication skills.The ideal candidate will have a proven track record of setting up production-ready engineering practices, including CI/CD pipelines, Infrastructure as Code (IaC), and version control (Git). You will be working closely with the business and operations teams to align on requirements and request and standardize waveform/sensor data.
The company is looking for a talented and motivated individual who can thrive in a cross-functional environment and enjoys translating complex data into smart, reusable models. If you have a passion for data engineering, machine learning, and working on challenging projects, this role could be an excellent fit.
What You Will Do
- Design and implement streaming and batch data pipelines for data integration, ingestion, data quality management, transformations, and auditing
- Perform feature engineering and data exploration to develop and improve anomaly detection models
- Collaborate with business and operations teams to align on requirements and request and standardize waveform/sensor data
- Build and maintain the Gold data layer, key KPIs, and PoC evaluation frameworks
- Set up and maintain solid engineering practices, including CI/CD pipelines, Infrastructure as Code (IaC), version control (Git), unit and integration testing, and proper documentation
- Work with the team to design and implement data storage solutions, including data warehousing and data lakes
- Develop and maintain data visualizations and reports to communicate insights to stakeholders
- Stay up-to-date with industry trends and emerging technologies in data engineering and machine learning
- Participate in code reviews and contribute to the improvement of the codebase
- Collaborate with the data science team to develop and deploy machine learning models
What We Are Looking For
- Strong, hands-on experience with Azure and the Databricks platform
- Solid experience with MLflow for lifecycle management
- Proven track record in setting up production-ready engineering practices (CI/CD, IaC, Git, unit/integration testing)
- Senior-level engineering mindset with the ability to work independently in a complex data environment
- Excellent communication skills and fluent English
- Experience with data engineering, data architecture, and data warehousing
- Strong problem-solving skills and attention to detail
- Ability to work in a fast-paced environment and adapt to changing priorities
- Experience with data visualization tools and technologies
Nice to Have
- Experience with Snowflake
- Additional Data Science / ML capabilities, especially with anomaly detection (real-time or streaming scenarios)
- Experience with Databricks-based ML workflows, model serving endpoints, model versioning, testing, and tuning
- Knowledge of statistical normalization techniques (e.g., z-score) and signal processing (e.g., FFT transformation)
Benefits and Perks
- Direct cooperation with the already successful and growing project
- Truly competitive salary
- 20 days of paid vacation per year
- Paid Polish public holidays
- Private medical insurance package
- Opportunities for professional growth in an international environment and cutting-edge energy sector domain
- Help and support from our caring HR team
- Remote work options and flexible working hours
- Access to the latest technologies and tools
- Professional development and training opportunities
How to Stand Out
- Ensure you have a strong foundation in data engineering, including experience with Azure, Databricks, and MLflow.
- Develop a portfolio that showcases your ability to design and implement data pipelines, data warehouses, and machine learning models.
- Be prepared to discuss your experience with anomaly detection and statistical normalization techniques.
- Highlight your ability to work independently and collaboratively in a cross-functional environment.
- Consider learning about the renewable energy sector and the company's specific projects to demonstrate your interest and motivation.
- Prepare to discuss your experience with data visualization tools and technologies, and how you can apply them to communicate insights to stakeholders.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.