Data & Automation Engineer

You will work closely with business teams, vendors, and IT to translate requirements into secure, scalable, and maintainable solutions.

• Automate processes using Power Automate and Python (RPA where appropriate); schedule and monitor jobs.
• Design, build, and operate ETL/ELT pipelines for batch/near‑real‑time workloads across SQL Server, PostgreSQL, and Azure services.
• Integrate third‑party systems via REST/web APIs.
• 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.
• Prepare features/datasets and partner with business analysts on Azure ML experiments and deployments.
• Collaborate with vendors and internal IT; uphold security, privacy, and regulatory requirements.
• Translate ambiguous business needs into technical designs and increments; create documentation and runbooks.
• Version, test, and release data code (SQL, Python, Power Automate, scripts) with CI/CD, instrument pipelines for observability and cost.
• Manage multiple concurrent projects end-to-end, balancing delivery speed, quality, and security.
• Model data warehouses; implement data quality checks, lineage, and documentation.
• Build Power BI models and reports (DAX, Power Query), enforce governance (certified datasets, RLS), and optimize refresh.

AI/ML & MLOps

Candidates with suitable qualifications and experience will be considered for a senior position.

We are seeking an all‑round 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 records‑management workflows (SharePoint Online, Purview, Security & Compliance).

Microsoft 365 Records & Compliance

• Strong analytical thinking, excellent English communication, and demonstrated self‑learning/growth mindset.
• Data governance tooling and BI usage analytics.
• Pipelines/ETL/ELT. Hands‑on building production pipelines from multiple sources (including web APIs) with strong data quality practices; experience with developing and maintaining SSIS packages.
• Automation. Power Automate flow development and administration.
• Data modeling & SQL. Advanced SQL; schema design; performance tuning on relational database such as SQL Server and PostgreSQL.
• Deep SSIS package development (project/deployment model, parameters, configurations) and SSIS → ADF/Fabric migration experience.
• Ability to engage non‑technical stakeholders and document solutions clearly
• Use Azure OpenAI responsibly to solve business use cases.
• M365 ecosystem. SharePoint Online solutioning and workflow development; awareness of Purview retention labelling and M365 Security & Compliance.
• Experience with ADF/Synapse/Fabric orchestration; Git‑based development; unit/integration testing for data.
• Bachelor’s degree in Computer Science, Data/Information Systems, Engineering, Mathematics, or related quantitative field.
• RPA experience beyond Power Automate; Playwright/Power Automate Desktop for UI automation (used judiciously).
• Azure data/AI. Practical exposure to Azure services supporting data and ML (e.g., storage, compute, orchestration, Azure ML; Azure OpenAI familiarity).
• Power BI. Data modelling (star schemas), DAX, Power Query, RLS, incremental refresh, gateway configuration.
• Programming & Scripting. Proficiency in Python; experience automating tasks, calling APIs, and handling files/JSON/CSV/XML.