Data Technology Consultant

Job Description

Are you ready to bring your data technology expertise to complex, real-world challenges? Do you thrive at the intersection of technology and business strategy, helping organizations make smarter decisions through the power of data? If so, this is the role for you.

We are looking for a talented Data Technology Consultant to join our growing Data Practice team and help our clients unlock the full potential of their data. You will contribute to high-impact projects spanning digital transformation, cloud solutions, data platforms, business analytics and AI adoption 6 working across diverse industries including financial services, retail, life sciences, energy and the public sector.

In this role, you will work closely with client and delivery teams to shape Data Analytics strategies, evaluate and recommend data technology solutions, and support the implementation of scalable, future-proof data platforms. You will bring a consulting mindset to every engagement 6 translating complex technical concepts into clear business value, building strong client relationships, and contributing to transformations that make a measurable difference.

_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._

• Support and contribute to the Data Analytics strategy and consulting engagements, helping clients identify and maximize the value of their data initiatives
• Evaluate and recommend data technology options, assessing their fit with clients' strategic vision and business objectives
• Support digital transformation activities, including documenting current data architectures and identifying opportunities for improvement
• Maintain up-to-date knowledge of technical solutions, architecture trends, and best practices, contributing as a Data Solution Architect where needed
• Build strong client relationships, communicate clearly with stakeholders, and advocate for technology options by presenting models to support client decision-making
• Collaborate with internal, client, and third-party teams to drive successful delivery through an integrated model
• Support the implementation of data governance frameworks, data quality practices, and data privacy compliance across client engagements
• Contribute to AI/ML-enabled data solutions and assist in advising clients on Generative AI adoption, covering data readiness, responsible AI, and governance alignment
• Contribute to business development activities, including case studies, content creation, and identifying new client opportunities

Requirements

• 5+ years of hands-on experience as a Data Technology Consultant and/or Solution Architect, delivering enterprise-scale Data Analytics solutions
• Proficiency in at least one of the following: Data Engineering, cloud data warehousing (e.g., Snowflake, BigQuery, Redshift, Azure Synapse), BI and visualization tools (e.g., Power BI, Tableau, QlikView, Looker), distributed data processing (e.g., Spark, Kafka, Databricks, MS Fabric), or Data Science and ML
• Good working knowledge of at least one major cloud provider (AWS, Azure, or GCP)
• Working knowledge of data governance frameworks and data privacy regulations across major jurisdictions
• Proven experience delivering projects within Agile or Scrum frameworks, with a solid understanding of SDLC principles and CI/CD practices in data environments
• Working knowledge of business analysis techniques, including requirements gathering, user story definition, and project documentation
• Strong communication and stakeholder management skills 6 able to translate technical concepts for business audiences and confidently present and advocate for technology recommendations to clients
• English proficiency at a B2+ level

Nice to have

• Hands-on experience with AI/ML frameworks or cloud AI platforms
• Familiarity with Generative AI tools, LLM integration patterns, or prompt engineering
• Practical experience with MLOps tooling
• Experience with data governance and data cataloguing tools
• Relevant certifications in cloud, data architecture, AI/ML, or data governance

Company offers

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more