Why Sngular? At Sngular, while you are developing your talent in a team, you will impact society through technology. People first: Sngular is a collaborative people-oriented company, where YOU and your perspective will always be valued. Our number one value is \"People before results\" and we have created a big family in which each member is taken care of. You will have a yearly Well-being bucket, to invest in your physical, emotional, and/or workspace well-being. You will also have full healthcare coverage, insurances, flexible schedules, home office possibilities, digital disconnection, mentoring, and very fun events :). Continuous growth and training: We have a Start-up spirit with the infrastructure of a big organization (we are 1400 already), you will be offered professional growth opportunities, learn new skills, gain new certifications, become a Lead or Manager…leave your comfort zone the way YOU want it! Your career path and treatment will always be personalized , tell us your goals so we can reach it together. You will have Internal training, an Annual training allowance, Free unlimited access to Udemy; Bonus for Obtaining Certifications, Tech talks + Language training. What will you do: We are looking for a hands-on Data Engineer to join the implementation phase of a Data Governance programme at a community bank. You will own the full data journey: from ingesting raw data out of source systems into a landing zone, through transformation layers, to the final KPIs and dashboards consumed by business stakeholders. You will be provided with a Data Dictionary / Data Requirements document (DDR) that maps source tables and columns to target KPIs. Domain knowledge of banking is not required — what matters is your ability to read a spec and build reliably against it. Design and build ETL/ELT pipelines to ingest data from multiple source systems (core banking, mortgage origination, payment processors, external APIs) Implement Bronze / Silver / Gold data layers following a medallion architecture on Azure Write and maintain data transformation logic (Python / SQL / Spark) Build KPI definitions and data models from provided DDR specifications Develop and maintain Power BI dashboards and reports connected to the modelled data Implement basic data quality checks and monitoring at each pipeline stage Document pipelines, data models, and transformation logic What would you need to succeed: 3+ years building production ETL/ELT pipelines Strong SQL and Python (PySpark a plus) Hands-on experience with Azure Data Lake, Azure Data Factory, or Microsoft Fabric Power BI — including data modelling (DAX, relationships, calculated measures) Comfortable working from a DDR / data dictionary without requiring business context coaching Experience with REST API ingestion & export Familiarity with medallion architecture (Bronze/Silver/Gold) Proactive and self-managed — you take ownership of your work, flag blockers early, and don't wait to be told what to do next Adaptable — you are comfortable working in an evolving environment where requirements, priorities, and tooling decisions may shift during the engagement Continuous learner — you actively seek to improve your craft, pick up new tools or frameworks when the project demands it, and don't treat your current skillset as a ceiling What technologies should you be familiar with: ETL/ELT Python SQL PySpark Azure Data Lake Azure Data Factory Microsoft Fabric Power BI REST API ingestion & export Medallion Architecture Does it sound interesting to you? Don't hesitate to apply for our offer!