Senior Analytics Engineer
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Job description
About FinomLea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren.Finom is a European tech startup headquartered in Amsterdam, developing an all?in?one financial B2B solution that integrates banking, accounting, financial management, and invoicing into a mobile?first platform.Role OverviewFinom is looking for a Senior Analytics Engineer to join our newly formed and high?performing Data Team.You will help build a modern, self?service Data Platform on Databricks and enable faster, higher?quality data?driven decisions.You will report to the Head of Data Platform and have the freedom to own data products and drive platform functionality independently.What You Will Be DoingDevelop the DWH core model that transforms raw Kafka topics into documented, easy?to?use data products for ML engineers, data analysts, and domain representatives.Collaborate closely with data engineers to develop our streaming ETL framework and improve its reliability and user experience.Help deliver new features and maintain existing ones in the OpenMetadata data catalog.Participate actively in data quality and governance tools and process implementations.Partner with data consumers across the business, supporting their daily data needs and turning requirements into reliable, well?documented data products.Build and scale the Data Platform from scratch, addressing unique challenges.Who You AreExperienced analyst or analytics engineer with data platform implementation projects.Excellent SQL for analytical tasks.Proficient in Python and PySpark.Comfortable with Git, ETL tools, or dbt.Experience building DWH models on modern platforms (Databricks, Spark, or dbt) and turning raw or streaming sources into consumable datasets.Understanding of streaming pipelines.Good at gathering requirements from stakeholders and translating them into technical solutions.High level of autonomy and self?direction, able to work independently and take initiative.Background in banking or fintech is a strong plus.First Six Months at FinomFirst month : Learn our ETL framework, data governance principles, data platform architecture; learn our customer?facing products and internal microservices; meet colleagues and stakeholders; deliver backlog data products.First 3 months : Complete backlog cleanup, start supporting customers with daily data needs, contribute ideas for platform and governance enhancements.First 6 months : Be recognized as a trusted data partner; own independent areas or expertise driving platform forward.What You Will Get In ReturnMake a genuine impact on the product and grow with our upward trajectory.Flexibility to work remotely or in a hybrid model across Europe.Stock options as part of our Stock Options Program available to all team members.Support and care from a modern, friendly, eco?conscious corporate culture.Optional Work & Swim program: one month in a corporate apartment in Cyprus with Mediterranean views.Equal Opportunity StatementFinom is an equal opportunity employer and values diversity.xcskxlj We welcome applications from all individuals regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other legally protected characteristics.#J-*****-Ljbffr
Requirements
Experienced analyst or analytics engineer with data platform implementation projects. Excellent SQL for analytical tasks. Proficient in Python and PySpark. Comfortable with Git, ETL tools, or dbt. Experience building DWH models on modern platforms (Databricks, Spark, or dbt) and turning raw or streaming sources into consumable datasets. Understanding of streaming pipelines. Good at gathering requirements from stakeholders and translating them into technical solutions. High level of autonomy and self?direction, able to work independently and take initiative. Background in banking or fintech is a strong plus.