Senior Data Engineer at Unisys: Vilnius, Lithuania

Role Overview

As a Senior Data Engineer at Unisys in Vilnius, Lithuania, you will play a crucial role in designing, developing, and maintaining robust, scalable data-driven applications. This position requires a strong understanding of data engineering principles, software architecture practices, and cloud platform deployment. You will collaborate with developers, architects, and stakeholders to align application design with data strategies and business requirements. Your responsibilities will include building and maintaining reliable data pipelines, ensuring data quality, and supporting the operational stability of data-centric applications.

Day in the Life

Your day as a Senior Data Engineer at Unisys might include: * **Designing and Developing Data Pipelines:** Creating and maintaining efficient data pipelines to ingest, process, and transform large datasets. * **Collaborating with Cross-Functional Teams:** Working closely with developers, data scientists, and business stakeholders to understand data requirements and develop solutions. * **Ensuring Data Quality:** Implementing data quality checks and monitoring data integrity to ensure accurate and reliable data. * **Optimizing Data Performance:** Identifying and resolving performance bottlenecks in data pipelines and databases. * **Staying Up-to-Date with Technologies:** Researching and experimenting with new data engineering tools and technologies to improve efficiency and effectiveness. * **Participating in Code Reviews:** Reviewing code written by other team members to ensure quality and adherence to standards. * **Troubleshooting and Resolving Issues:** Identifying and resolving data-related issues in a timely manner. * **Documenting Data Processes:** Creating and maintaining documentation for data pipelines, data models, and data engineering processes. * **Mentoring Junior Engineers:** Providing guidance and support to junior data engineers on the team. * **Attending Meetings:** Participating in team meetings and project discussions to stay informed and contribute to decision-making. ## Why Vilnius, Lithuania? Vilnius, the capital of Lithuania, offers a vibrant and growing tech scene. It's a city with a rich history and culture, combined with modern innovation. Here are a few reasons why working in Vilnius is a great opportunity: * **Growing Tech Hub:** Vilnius is becoming a prominent tech hub in the Baltic region, attracting international companies and talent. * **Affordable Cost of Living:** Compared to other European capitals, Vilnius offers a relatively affordable cost of living, making it an attractive place to live and work. * **Quality of Life:** Vilnius boasts a high quality of life, with a safe and clean environment, excellent healthcare, and a well-developed infrastructure. * **Cultural Experience:** The city has a rich cultural heritage, with numerous historical sites, museums, and cultural events. * **Strategic Location:** Vilnius is strategically located in Eastern Europe, making it easy to travel to other European countries. ## Career Path At Unisys, a Senior Data Engineer can advance their career in several directions: * **Principal Data Engineer:** Lead complex data engineering projects and provide technical guidance to other engineers. * **Data Architect:** Design and implement data architectures that meet the organization's needs. * **Engineering Manager:** Manage a team of data engineers and oversee the development of data solutions. * **Data Science Manager:** Lead and manage a team of data scientists, working closely with data engineers to deliver business insights. * **Consultant:** Become an internal or external consultant, leveraging your data engineering expertise to solve complex business problems. ## Salary & Benefits The salary range for this position is **4.600,00 - 6.667,00 € gross monthly**, based on your competencies and skills. Unisys also offers a comprehensive benefits package, including: * **Winning Culture:** Be part of a dynamic and collaborative work environment. * **Award-winning projects:** Work on challenging and rewarding projects. * **Corporate Social Responsibility:** Participate in CSR initiatives. * **Learning Platform:** Access a company-owned learning platform to enhance your skills. * **Employee Assistance Program:** Take advantage of mental health support and resources. * **Remuneration Model:** Receive competitive compensation based on qualifications, performance, and competence. * **Pension Scheme:** Participate in an attractive pension scheme. * **Allowances:** Receive various allowances to support your needs. * **Bonus Programs:** Be recognized and rewarded for your contributions. * **Health Insurance:** Enjoy extended health insurance coverage for private usage. * **Hybrid Work Model:** Benefit from a flexible hybrid work model. * **Free Parking:** Enjoy free parking lots and a bike garage. ## Unisys Culture Unisys is committed to creating a diverse and inclusive workplace where all employees feel valued and respected. The company fosters a culture of collaboration, innovation, and continuous learning. Unisys values its employees and provides opportunities for growth and development. ## How to Apply To apply for the Senior Data Engineer position at Unisys in Vilnius, Lithuania, please submit your resume and cover letter through the Unisys careers website. Be sure to highlight your relevant experience, skills, and qualifications. ## FAQ 1. **What programming languages are essential for this role?** Proficiency in Python and SQL is a must. Experience with Scala and C# is beneficial. 2. **What experience is required for this position?** At least 5+ years of professional experience in software development or data engineering projects is required. 3. **Is experience with cloud platforms necessary?** Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) is highly desirable. 4. **What is the work environment like at Unisys?** Unisys offers a collaborative and innovative work environment with a focus on continuous learning. 5. **Is this a remote position?** This position follows a hybrid work model, with 3 days onsite and 2 days flexible. 6. **What are the career advancement opportunities at Unisys?** There are opportunities to advance to roles such as Principal Data Engineer, Data Architect, Engineering Manager, or Consultant. 7. **What benefits does Unisys offer?** Unisys offers a comprehensive benefits package, including health insurance, a pension scheme, and bonus programs. 8. **Is experience with Databricks required?** Experience with Databricks is a plus. 9. **What skills are important for this role?** Strong problem-solving, communication, and leadership skills are essential. 10. **What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager.