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You will be updated with latest job alerts via emailAre you a seasoned Data & BI Engineer looking for a role where you can truly make an impact Do you thrive on transforming complex data into actionable insights and building robust data platforms Were on a transformative journey to modernize our global data platform and were seeking a proactive and technically skilled professional with 5-7 years of experience to join our team.
This is a unique opportunity to contribute hands-on across the entire data engineering modeling and reporting lifecycle. Youll start with foundational work like migrating from legacy systems to Snowflake and progressively deepen your skills as you help us build advanced architectures in Microsoft Fabric Data Mesh and SAP Analytics Cloud. If youre eager to learn grow and shape the future of our data landscape we want to hear from you!
Main Responsibilities:
Support the migration from SQL Server AAS and SSIS/DataStage to Snowflake.
Build scalable and reusable data pipelines using dbt Databricks Fivetran and HVR.
Recreate analytical models using Power BI and begin exploring Microsoft Fabric through POCs.
Integrate data from sources including such as SAP CRM and SharePoint.
Document metadata and support the implementation of Microsoft Purview.
Develop and deploy Fabric-compatible data models and pipelines using OneLake.
Contribute to the decommissioning of Snowflake and full transition to Microsoft Fabric.
Support the rollout of SAP Analytics Cloud and Group Reporting.
Participate in the implementation of Data Mesh principles including data domain ownership and stewardship.
Apply CI/CD practices (GitHub) and contribute to automated testing and data quality controls.
Key Requirements:
4-7 years of experience as a Data Engineer BI Developer or related roles.
Bachelors Degree in Computer Science Information Systems Software Engineering Data Science Mathematics or Statistics Engineering (with a strong data/technology focus).
Hands-on experience with at least one cloud data platform (e.g. Azure SQL Snowflake Databricks).
Fluency in English is required for effective communication within our global team and with diverse stakeholders.
Proficient in SQL and data modelling (dimensional/star schemas).
Working knowledge of ETL/ELT tools like dbt SSIS or DataStage.
Experience creating reports and semantic models in Power BI.
Familiarity with Git-based version control and basic CI/CD workflows.
Eagerness to learn and grow into Microsoft Fabric Data Mesh and modern cloud-native data architectures.
Strong collaboration and communication skills; ability to work with business and IT stakeholders.
Detail-oriented with a commitment to data quality and process excellence
Good to Have:
Exposure to Microsoft Fabric OneLake or SAP Analytics Cloud is a plus (or strong motivation to learn).
Experience with metadata management tools like Microsoft Purview is an advantage.
Evidence of training or Certification(s) in: Microsoft Certified: Azure Data Engineer Associate / dbt Fundamentals Certification / Snowflake SnowPro Core Certification/ Databricks Lakehouse Fundamentals/ Power BI Data Analyst Associate (PL-300)/ GitHub Actions or CI/CD tooling certifications.
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Equal opportunities
Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race religion creed color national origin nationality citizenship ancestry sex age marital status physical or mental disability affectional or sexual orientation gender identity military or veteran status genetic predisposing characteristics or any other basis prohibited by law.
Notice to Agency and Search Firm Representatives
Convatec is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Convatec employee by a third party agency and/or search firm without a valid written and signed search agreement will become the sole property of Convatec. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.
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Full-Time