Business Intelligence Engineer
Kodify Media Group
WorldwideremotePosted 6 days ago
K
Skill Required
Business-IntelligenceData-EngineeringAnalytics-EngineeringBI-EngineeringBusiness-intelligence-EngineerBusiness-Intelligence-EngineeringBusiness-Analytics-EngineerBI-Data-EngineerBI-and-Analytics-EngineerBusiness-Intelligence-DeveloperData-Engineer-BIsoftware engineeringObservabilityEngineeringPostgreSQLanalyticalSnowflakePower BIsimilar)analyticsBigQueryRedshiftbuildingTableauMongoDBPythonLookerDockerdesignAgileDesign PatternsjQueryAPIsdbtETLSQLFulltime
Key highlights
- 10% on top of your salary for learning and development
- Latest tech equipment - Macbook Pro
- 1 day off on your birthday
- 1 month paid sabbatical after 3 years
- Fully remote position in the EU
- Data platform supporting close to 100M unique visitors a month
Role overview
Kodify is an award-winning company with 15+ years of success in video content and high-traffic websites serving millions of users worldwide. As a rapidly expanding global company with over 20 national cultures, they are seeking a BI Engineer to sit at the intersection of technical and analytical work. The role involves building data platforms, models, and pipelines that support business decisions across product, marketing, finance, and operations. The position is fully remote in the EU with core collaboration hours of 10:00-15:00 CET/CEST.
Responsibilities
- Design and own dashboards that people actually use to make decisions - living products with an owner and a purpose
- Answer real business questions end to end: LTV and retention, subscriptions, sales volume and take rate, production and content performance
- Find the 'why' behind the number, and say so clearly
- Build and maintain dbt models, staging through marts. Conventions, tests, and documentation included, not bolted on later
- Work on Python ETL: ingestion from billing APIs, Postgres, MongoDB, and columnar layer. Build new sources, fix what's fragile, and improve error handling and observability
- Test your own work and validate numbers before a stakeholder does
- If a dashboard is wrong, you care
- Translate vague asks into scoped questions
- Push back on requests that shouldn't be built, and propose the version that should
- Help business teams answer their own recurring questions, so capability moves out of BI rather than piling up inside it
- Become a valued team member, providing feedback about tech, development lifecycle and processes
- Take ownership of your code / task / role
- Be the reason the business trusts its numbers — and be one of the driving forces behind always making it better
Requirements
- Experience as a BI Engineer, Data Engineer, Analytics Engineer, Data Analyst with engineering depth, or similar
- Comfortable on both sides of the line (technical and analytical)
- Strong SQL, ideally PostgreSQL: complex transformations, window functions, and enough performance awareness to know why your query is slow
- Solid Python for data work: pipelines, scripting, APIs, data manipulation
- You can pick up an existing ETL codebase and extend it
- Experience with dbt: models, tests, macros, and documentation, working within an existing project's conventions
- Production experience with a BI/visualization tool (Superset, Tableau, Power BI, Looker, or similar), including the modeling layer underneath it, not just the drag-and-drop
- Solid building experience using AI - understanding AI harnessing best practices such as, hooks, skills, rules, mcps, plugins etc
- Genuinely up to date on where AI is going: you follow what's changing in models, agents, and tooling, and you have opinions about what's useful versus hype
- We expect you to use AI daily and to bring new ways of working to the team, not wait to be shown them
- Experience working with dimensional / analytical models and warehouses
- Comfort with Git, code review, and modern software engineering practices applied to data
- Genuine business curiosity
- You want to know how the company makes money, not just what the schema looks like
- Clear communication with non-technical stakeholders
- You can explain a discrepancy without hiding behind the pipeline
- Strong sense of ownership
- You don't wait to be told something is broken
- A team player who likes to help others and solve problems together
- Investigation of new technologies
- You have a real 'Can Do' work ethic
- We are results-based, not clock-based
- You love to have fun while you work
Nice to have
- Experience with a columnar/analytical database (ClickHouse, BigQuery, Snowflake, Redshift or similar)
- Exposure to a semantic/metrics layer (Cube.dev, dbt MetricFlow, LookML, or similar)
- Web analytics experience: event tracking, funnels, attribution, session and behavioural data (GA4, Amplitude, Mixpanel, or similar)
- MongoDB as a source system
- Data cataloging, documentation, or lineage tooling (OpenMetadata, DataHub, or similar)
- Docker
- AWS
- Experience with high-traffic / high-volume data environments
- Understanding of Agile principles
- Experience working remotely
Benefits
- Fully remote position or, if preferred, working in our awesome Barcelona office
- Agile environment
- Top-notch tech stack
- Flexible working hours + core hours
- 10% on top of your salary for learning and development - of your choice
- 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
Additional details
- Based on over 15 years of success, producing world-class video content and building, developing, and managing a number of high-traffic websites
- Award-winning content and websites are created exclusively by us and directly for the use of millions of users worldwide
- At Kodify, we're not just pushing boundaries in online entertainment—we're rewriting the script
- Our goal is to empower our people with everything they need to pioneer innovation in our industry
- Our culture is our secret sauce, and we're committed to preserving and enhancing it every step of the way
- Our crown jewel is our team
- We prioritize their growth and well-being above all else, ensuring they're set up for success and always inspired to deliver their best work
- Rapidly expanding company with diverse hubs across the globe and over 20 vibrant national cultures
- Working with us means embracing thrilling challenges tailor-made for a star BI Engineer
- Data is at the heart of how we make decisions
- Every team relies on trustworthy data delivered at the right time
- Building the models and pipelines that produce the numbers, and the reporting and analysis that make those numbers useful to the business
- Data platform that supports products serving close to 100M unique visitors a month
- We're very flexible about when you get your work done, but we do have some core hours where we like to overlap in order to promote collaboration and low-latency communication between team members (10:00 to 15:00 CET/CEST)
- Our daily virtual stand-ups are important for us but other than that, you're free to manage your own time