Senior Data Engineer

We offer a unique opportunity to take a leading role in shaping data-driven solutions from the ground up. You'll be involved early in project lifecycles, helping define technical direction, build and guide teams, and influence strategic decisions. This role empowers you to take initiative, drive innovation, and work autonomously while receiving full support to grow your expertise and expand your capabilities as a Data Tech Lead.

YOU WILL:

• Act as a key technical advisor to the Sales team, helping to articulate and shape data solutions that meet client needs.
• Support the creation of value propositions, proposals, and client presentations.
• Participate in early-stage client engagements to define technical direction, align stakeholders, and identify opportunities for 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.

WHAT WE EXPECT YOU WILL BRING

• At least 4+ years of experience in Data Engineering, preferably with a strong focus on Azure Databricks or similar cloud 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.
• Experience with MLOps and model deployment in production environments is a plus.
• Understanding of data streaming (e.g., Kafka, Azure Event Hubs) is a plus.

WHAT WE OFFER

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.

We offer a GROSS (before taxes) salary from 5000 Eur for this role. The final agreement on salary is based on skills and experience.