Business Intelligence Engineer
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Job Description
BI Engineer building trusted data models, Python ETL pipelines, and dashboards for Kodify’s high-traffic video websites. Analyzing business performance and enabling teams to make data-driven decisions.
Responsibilities:
- Design and own decision-useful dashboards
- Answer business questions end to end, including LTV and retention, subscriptions, sales volume and take rate, and production and content performance
- Build and maintain dbt models from staging through marts, including conventions, tests, and documentation
- Work on Python ETL pipelines ingesting data from billing APIs, PostgreSQL, MongoDB, and the columnar layer
- Build new data sources, fix fragile components, and improve error handling and observability
- Test work and validate numbers before stakeholder review
- Translate vague stakeholder requests into scoped questions
- Push back on unsuitable requests and propose better solutions
- Enable business teams to answer recurring questions independently
- Provide feedback on technology, development lifecycle, and processes
- Take ownership of code, tasks, and role
- Help make the business trust its numbers and continuously improve data quality
- Participate in daily virtual stand-ups and collaborate during 10:00–15:00 CET/CEST core hours
Requirements:
- Experience as a BI Engineer, Data Engineer, Analytics Engineer, Data Analyst with engineering depth, or similar
- Strong SQL, ideally PostgreSQL, including complex transformations and window functions
- Solid Python for data work, including pipelines, scripting, APIs, and data manipulation
- Experience with dbt, including models, tests, macros, and documentation
- Production experience with a BI/visualization tool such as Superset, Tableau, Power BI, or Looker, including its modeling layer
- Solid building experience using AI and understanding of AI harnessing best practices such as claude.md, hooks, skills, rules, MCPs, and plugins
- Up-to-date knowledge of AI models, agents, and tooling
- Experience working with dimensional/analytical models and warehouses
- Comfort with Git, code review, and modern software engineering practices applied to data
- Genuine business curiosity
- Clear communication with non-technical stakeholders
- Strong sense of ownership
- Team player who helps others and solves problems collaboratively
- Investigation of new technologies
- Results-based, 'Can Do' work ethic
- Experience with a columnar/analytical database such as ClickHouse, BigQuery, Snowflake, or Redshift is nice to have
- Exposure to a semantic/metrics layer such as Cube.dev, dbt MetricFlow, or LookML is nice to have
- Web analytics experience with event tracking, funnels, attribution, session, and behavioural data is nice to have
- MongoDB as a source system is nice to have
- Data cataloging, documentation, or lineage tooling is nice to have
- Docker is nice to have
- AWS is nice to have
- Experience with high-traffic/high-volume data environments is nice to have
- Understanding of Agile principles is nice to have
- Experience working remotely is nice to have
- Must be located in Europe
- Full-time employee option is for Spain residents only; full-time contractor option is for other EU countries
Benefits:
- Fully remote position or, if preferred, working in the Barcelona office
- Agile environment
- Top-notch tech stack
- Flexible working hours with core hours
- 10% on top of your salary for learning and development
- Latest tech equipment — MacBook Pro
- Company Amazon book account
- Kodify off-sites, on-sites, events, and team activities
- Amazing international team
- 1 day off on your birthday
- Generous vacation and personal days
- 1 month paid sabbatical after 3 years
- Health & Wellness budget
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