Analytics Engineer
EUR 42,000-57,600 per year
Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Marketing @ 3
Security @ 3
Grafana @ 3
Python @ 5
SQL @ 5
Looker @ 3
dbt @ 3
ETL @ 3
Airflow @ 3
Dagster @ 3
Data Engineering @ 3
ELT @ 3
BI @ 3
Fivetran @ 3
Snowflake @ 3
Dataform @ 3
Data Modeling @ 3
Data Pipelines @ 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
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As an Analytics Engineer, you will work with one of the fastest growing Saily products from the Nord Security family. That includes designing, building, and operating data pipelines that teams rely on to optimize marketing performance and decision-making.
Responsibilities
- Own and develop our dbt project: build, maintain, and optimize core data models and pipelines across the business domain
- Communicate with developers, shareholders, and data analysts to address their needs
- Prepare documentation and best practices for data modeling
- Share your ideas and help with various projects
- Together with the data team, deliver quality data-driven solutions
Requirements
- 2+ years of experience as an Analytics Engineer/Data Engineer or similar Data role
- Experience with maintaining ETL/ELT pipelines and data modeling
- Proficient in SQL and Python
- Experience using data transformation tools (dbt, dataform, etc.)
- Experience using cloud data warehouses (BigQuery, Snowflake, etc.)
- Fluency in English
Bonus Points
- Experience with job orchestration tools (Airflow, Dagster, Prefect, etc.) is a plus
- Experience with data ingestion tools (Airbyte, Meltano, Fivetran, etc.) is a plus
- Experience with any BI/visualization tools (Grafana, Looker, Metabase, etc.) is a plus
Salary
Gross Salary: 3500-4800 EUR/Month.
Workplace
Hybrid — Vilnius and Kaunas, Lithuania.