Business Intelligence Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Business Intelligence Developer

👻 Ghost score 10%

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Logo of Kodify Media Group

Kodify Media Group

51 - 200 employees

💼 Consulting

📣 Marketing

✈️ Travel

Consulting • Marketing • Travel

Kodify Media Group is a technology-driven company with a focus on innovation and high-quality media production. Specializing in artful storytelling and high-end imagery, the company utilizes cutting-edge technology, including the ALEXA Mini and Prime Lens, to produce top-tier content. With offices located in major cities such as Barcelona, Los Angeles, and Montreal, Kodify is committed to fostering a great workplace culture, emphasizing teamwork, respect, and fun. The company continually expands its brand while maintaining the highest levels of professionalism and creativity in the media industry.

📋 Description

• 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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