- Company Name
- Consort Group
- Job Title
- Data Scientist / Developer
- Job Description
-
**Job Title**: Data Scientist / Developer
**Role Summary**: Design, develop, and maintain data products for Investment/Front Office teams. Build analytic solutions, industrialize data pipelines, and manage BI assets across Azure Synapse and Power BI platforms, ensuring robust security, DevOps practices, and user support.
**Expectations**: 4–7 years of experience in data analytics or development within high‑performance technical environments (Finance, Asset Management, Risk, or Front Office). Proven ability to translate business requirements into production‑grade products, automate workflows, and collaborate closely with business, IT, architecture, and infrastructure stakeholders.
**Key Responsibilities**
- Gather and analyze business needs; lead scoping workshops.
- Reverse‑engineer existing analytical applications (Credit, ESG, Performance).
- Produce technical architecture documents in partnership with Architecture teams.
- Develop SQL/T‑SQL queries, PySpark notebooks, and Azure Synapse pipelines.
- Automate processes with Power Automate and create Power BI reports and paginated reports.
- Coordinate with Front‑End/Back‑End developers for integrated solutions.
- Execute data ingestion, preparation, and go‑live hand‑over.
- Deploy and manage Power BI workspaces, apps, and gateways.
- Maintain Synapse environments (versioning, secrets, registered apps, security settings).
- Provide end‑user support for data and BI platforms.
- Monitor DevOps pipelines, security (AAD, service principals, secrets).
- Conduct integration tests and UAT campaigns.
- Produce and maintain documentation and best‑practice guides.
**Required Skills**
- Programming: Python, SQL/T‑SQL.
- Cloud: Azure Synapse (PySpark, pipelines), Azure AD, secrets management.
- BI: Power BI, Power BI Report Builder.
- Architecture: Medallion/Data‑Lake (Delta Lake).
- DevOps & Security: CI/CD pipelines, application security, access control.
- Methodology: Agile (Scrum/Kanban).
- Soft: Strong organization, clear business‑oriented communication, collaborative teamwork, autonomous ownership, product‑mindset service orientation.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related field, **or** equivalent professional experience.
- Optional certifications: Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Power BI Data Analyst Associate.