Job description
We are offering an exciting opportunity for you to get involved and work on a variety of projects. You will have the chance to join projects in their early stages, shape the technical direction, and take the initiative in building the necessary teams, creating an environment that fosters personal initiative and autonomous action. You will receive full support and guidance as you enhance your skills and develop new competencies with a focus on the Data Tech Lead perspective.
Challenges you’ll tackle:
- Translate business challenges into actionable, data-driven solutions
- Collaborate with data engineers, analysts, and key stakeholders to effectively translate business needs into data-driven solutions
- Leverage data insights to develop strategic recommendations aligned with business goals
- Convert business requirements into reliable, high-performance data sets in Databricks Data Lakehouse
- Design, develop, and maintain ETL pipelines using PySpark, ensuring efficient data processing and automation
- Manage Databricks assets, utilizing Asset Bundles for structured resource organization
- Automate deployment and workflows using GitHub Actions
- Lead the technical vision, drive best practices in data engineering and cloud solutions, and mentor the team to align with business objectives and emerging technologies
Skills for success:
- Proven experience (4+ years) in Data Engineering with a strong focus on Azure DataBricks or similar expertise in cloud-based data engineering platforms (AWS, google)
- Data-Driven Mindset: capability to convert business problems into data-driven solutions, utilizing data to drive decision-making and actionable insights
- Knowledge of ML lifecycle
- Expertise in data modeling at both the logical and physical levels, with the ability to optimize data structures
- Knowledge of best practices in software development (Git, CI/CD)
- Proficiency in Python and SQL
- Exceptional verbal and written communication skills in English
- Excellent collaboration and communication skills with a focus on stakeholder alignment and team mentorship
Nice to Have:
- Experience with MLOps and model deployment in production environments
- Understanding of data streaming (e.g., Kafka, Azure Event Hubs)
Competitive Compensation & Growth Opportunities
- Dedicated training budget for conferences, online courses, and books to support continuous learning
- Access to English and Lithuanian language lessons
- Professional development through workshops, coaching sessions, and tech events
Work-Life Balance & Flexibility
- Flexible working hours to suit your schedule
- Unlimited work-from-home option for greater autonomy
- A 300€ Personal Perks Pack to support your work-life balance needs
Community & Team Connection
- Employee referral program with rewards up to 2000€ net
- Clients & External Ambassadors with rewards up to 5000€ net
- Social events, including Summer/Winter parties and a Dev Day celebration
- Team-building activities and annual live meet-ups with clients for enhanced collaboration
For this position, we offer 4793 € - 5785 €/month gross salary.
The final offer will depend on your experience and competencies.
