Analytics Engineer — Mid-Senior — Finance Team
EUR 42,000-72,000 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Agile @ 3
Airflow @ 3
Automated Testing
Communication @ 3
Data Modeling @ 3
ETL @ 3
Fivetran @ 3
Git @ 3
Python @ 3
R @ 3
SQL @ 6
Security
Snowflake @ 3
dbt @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
At Nord Security, the Analytics Engineer will help build data assets and analytics workflows that support business and finance use cases.
Responsibilities
- Design and implement data transformation workflows using dbt to create reusable, analysis- and chatbot-ready data assets aligned with business requirements.
- Collaborate with stakeholders to gather data and analytics needs, translating them into technical specifications and scalable data models.
- Work closely with data engineers to build efficient, scalable, and reliable data models and pipelines for current and future use cases.
- Implement data quality checks and monitoring processes to ensure data accuracy, consistency, and completeness.
- Promote and support software engineering best practices in analytics, including version control, code reviews, and automated testing.
- Document data transformations and implement best practices.
Requirements
- Proven experience in Analytics Engineering or a similar role.
- Strong SQL skills, with the ability to write clear, maintainable, and efficient queries.
- Experience working with cloud data warehouses such as BigQuery or Snowflake.
- Hands-on experience with dbt as a transformation tool for building SQL-based analytics workflows.
- Knowledge of ETL tools such as Airflow or Fivetran.
- Solid understanding of data modeling and data transformation techniques.
- Excellent written and spoken English communication skills.
- Strong problem-solving mindset and the ability to work independently while managing multiple priorities.
Bonus Skills
- Experience with Python or R.
- Experience with Git, Scrum methodologies, and Agile development practices.
Benefits
- Online and in-person training, access to Coursera and Skillshare, mentorship, and internal career opportunities.
- Extra vacation days, additional sick leave, and days off for special occasions and parenting.
- Premium private health insurance, available in Lithuania and Poland.
- Subscriptions to Calm, Headspace, and Mindletic, along with resilience and mindfulness training.
- In-house gyms, Multisport and Urban Sport cards, online workouts, and physical well-being support.
- Company workation opportunities.
- Ability to work from different locations.
- Gifts for birthdays, work anniversaries, weddings, and new family members.
- Summer camps for children and flexible working arrangements for parents.
- Team-building activities and company events.
- Access to Nord Security's Vilnius headquarters and facilities.
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