*hackajob
is collaborating with
Barclays
to connect them with exceptional professionals for this role.*
Join us as a “Data Analytics & BI Engineer - IDL Technology " at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

You may be assessed on the key critical skills relevant for success in role, such as experience with, skills to meet business requirement as well as job-specific skillsets.

To be successful as a “Data Analytics & BI Engineer - IDL Technology", you should have experience with:

Basic/ Essential Qualifications
- Strong BI engineering capability, including semantic model design, DAX measures, report design, performance tuning, row-level security and workspace / deployment pipeline management.
- Solid SQL and data modelling expertise to produce curated, explainable and trusted datasets.
- Experience with Power BI, Tableau or Qlik and strong data storytelling skills.



observability and auditability.
- Minimum experience required 7 years.
- Minimum Qualification – bachelor’s degree.

Desirable Skillsets/ Good To Have
- Experience with streaming / event-driven technologies such as Kafka, Spark or structured streaming.
- Experience working in regulated environments with secure-by-design controls, retention, access governance and evidencing requirements.
- Experience building and operating reliable production-grade data pipelines, including near-real-time or streaming patterns, with strong controls around quality, reconciliation.

This role will be based out of Pune.

Purpose of the role
To support the bank's decision-making processes by providing timely, accurate, and insightful information through designing, developing, and maintaining management reports, compelling visualisations and dashboards that effectively communicate key performance indicators (KPIs), data insights and tr

📌 Data Analytics (Pune Division)
🏢 hackajob
📍 Pune Division