Data Engineer

_Twoday is a leading Northern European AI and digital engineering company with 3,000 experts across AI, data & analytics, cloud, digital engineering, and business applications. We help organizations create lasting impact through advanced technology and close collaboration._

_The company is on an ambitious growth and transformation journey across the Nordics. Twoday is a strategic partner to Databricks, Microsoft, and Snowflake, with deep expertise in modern data platforms, custom software, and business-critical enterprise solutions._

• * *

### **Technology stack

**

Modern cloud data platform and analytics services

Microsoft Azure (Azure SQL, Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Microsoft Fabric), Databricks (PySpark, SparkSQL), dbt, Power BI.

### In this role, **you** will

• Design and develop modern data engineering solutions — including data pipelines, lakehouse architectures, and analytics platforms — for the largest companies and organizations in Nordics.
• Design, build, and maintain scalable data integration and transformation pipelines across cloud-native data platforms.
• Apply data modeling and governance best practices to ensure reliable, scalable, and business-aligned analytics solutions.
• Collaborate with customers and stakeholders to gather and translate requirements into technical solutions.
• Optimize pipeline and platform performance to meet scalability and reliability demands.
• Contribute to documentation and knowledge sharing within the team.
• Work in agile teams, participating in planning, reviews, and continuous improvement.
• Stay current with emerging data technologies and bring relevant innovations into your work.

### What do **we** expect?

• Strong communication skills and ability to collaborate effectively in a team environment.
• 2+ years of experience in data engineering, data warehouse, or BI development.
• SQL skills with hands-on experience in data transformation and querying.
• Experience with cloud-native data platforms (Azure, AWS, GCP or similar).
• Experience with data integration and orchestration tools (Azure Data Factory, Apache Airflow, dbt, or similar).
• Understanding of data warehouse design and modern data modeling concepts (including Medallion architecture, lakehouse design, Star Schema or Data Vault).
• Analytical mindset with strong problem-solving skills and ability to work independently.
• Fluent English and Lithuanian.

### Bonus **points

**

• Experience with Databricks, PySpark, or SparkSQL.
• Familiarity with Microsoft Fabric or Snowflake.
• Experience with BI tools such as Power BI, Tableau, or Qlik.
• Experience with Python or C#.
• Familiarity with CI/CD practices and version control tools (Git).

### **We value data experience in all forms

**

If you have built your career on platforms such as SAP, Oracle, IBM, or Teradata and are ready

to bring that expertise into the modern cloud data world — we want to hear from you.

### What should **you** expect?

**Committees

** from the conferences we attend to ideas like workplace design - you’ll have the chance to create an organisation you dream to work in by joining 1 of 10 our committees.

**Healthcare

** health insurance and mental & emotional support from third-party consultants.

**Pension accumulation

** the state encourages participation in pension accumulation programs by applying tax benefits.

**Flextime

** flexible working hours, flexible work from home policy, office workplace and free parking.

**Leisure together

** excursions, team buildings, pizza Fridays, techie club, sports training or board games nights. We also have a sauna!

**Gross salary

** 2500 - 6375 EUR. Your salary is based on your competence and experience.

##### This role is open only to candidates with Lithuanian citizenship or a valid work permit in Lithuania. We are currently unable to relocate candidates from outside Lithuania or offer remote working opportunities outside Lithuania.