We are seeking an allround engineer who blends modern data engineering with automation and Microsoft 365 expertise. You will design and run reliable data pipelines (SQL Server/PostgreSQL Azure), build and govern our data products, automate business workflows (Power Automate/Python), produce Power BI dashboards, and support AI/ML initiatives (Azure ML, Azure OpenAI). You may also contribute to Microsoft 365 recordsmanagement workflows (SharePoint Online, Purview, Security & Compliance).
You will work closely with business teams, vendors, and IT to translate requirements into secure, scalable, and maintainable solutions.
Candidates with suitable qualifications and experience will be considered for a senior position.
Roles & Responsibilities
Data Engineering & Platform
- Design, build, and operate ETL/ELT pipelines for batch/nearrealtime workloads across SQL Server, PostgreSQL, and Azure services.
- Model data warehouses implement data quality checks, lineage, and documentation.
- Integrate thirdparty systems via REST/web APIs.
- Version, test, and release data code (SQL, Python, Power Automate, scripts) with CI/CD, instrument pipelines for observability and cost.
Analytics & Automation
- Build Power BI models and reports (DAX, Power Query), enforce governance (certified datasets, RLS), and optimize refresh.
- Automate processes using Power Automate and Python (RPA where appropriate) schedule and monitor jobs.
AI/ML & MLOps
- Prepare features/datasets and partner with business analysts on Azure ML experiments and deployments.
- Use Azure OpenAI responsibly to solve business use cases.
Microsoft 365 Records & Compliance
- Develop SharePoint Online workflows for records transactions integrate with metadata/labels.
- Configure/operate retention labels, policies, and Microsoft Purview / M365 Security & Compliance features alongside IT Security.
Work Practices
- Translate ambiguous business needs into technical designs and increments create documentation and runbooks.
- Collaborate with vendors and internal IT uphold security, privacy, and regulatory requirements.
- Manage multiple concurrent projects end-to-end, balancing delivery speed, quality, and security.
Required Skills & Experience
- Data modeling & SQL. Advanced SQL schema design performance tuning on relational database such as SQL Server and PostgreSQL.
- Pipelines/ETL/ELT. Handson building production pipelines from multiple sources (including web APIs) with strong data quality practices experience with developing and maintaining SSIS packages.
- Programming & Scripting. Proficiency in Python experience automating tasks, calling APIs, and handling files/JSON/CSV/XML.
- Power BI. Data modelling (star schemas), DAX, Power Query, RLS, incremental refresh, gateway configuration.
- Automation. Power Automate flow development and administration.
- Azure data/AI. Practical exposure to Azure services supporting data and ML (e.g., storage, compute, orchestration, Azure ML Azure OpenAI familiarity).
Nice to Have
- Experience with ADF/Synapse/Fabric orchestration Gitbased development unit/integration testing for data.
- RPA experience beyond Power Automate Playwright/Power Automate Desktop for UI automation (used judiciously).
- Data governance tooling and BI usage analytics.
- Deep SSIS package development (project/deployment model, parameters, configurations) and SSIS ADF/Fabric migration experience.
- M365 ecosystem. SharePoint Online solutioning and workflow development awareness of Purview retention labelling and M365 Security & Compliance.
Qualifications
- Bachelor's degree in Computer Science, Data/Information Systems, Engineering, Mathematics, or related quantitative field.
- Strong analytical thinking, excellent English communication, and demonstrated selflearning/growth mindset.
- Ability to engage nontechnical stakeholders and document solutions clearly.
