Senior Data Engineer

Allica; Delhi; Hybrid; INR 8.281.000 - 11.466.000; Vollzeit

Benefits dieser Stelle

Onboarding & development

Flexible working

Social activities

Pension contributions

Discretionary bonus

Private health cover

Life assurance

Maternity & paternity leave

Zusammenfassung

Allica Bank is seeking a Data Engineer / BI Analyst to own data flows from source systems to trusted reports. You will model data in Power BI, build scalable pipelines, and collaborate with stakeholders to deliver self-serve datasets and AI-enabled insights.

The role spans data engineering and BI with emphasis on reliable pipelines, data quality, and maintainable semantic models, while ensuring compliance in a regulated environment.

Qualifikationen

• 5+ years of experience as DE/BI in regulated environments.
• Strong SQL, Azure Synapse (or Azure Data Factory) and Power BI skills.
• Python, Google Cloud Platform and Looker are nice to have.

Aufgaben

• Deliver trusted, analysis-ready data from source to reports.
• Keep the data platform running with reliable ETL/ELT pipelines.
• Support data-driven decisions with BI models, reports and dashboards.
• Enable self-serve and AI-enabled data access for natural-language queries.

Kenntnisse

SQL

Azure Synapse

Power BI

Python

Google Cloud Platform

Looker

Tools

Power BI

Azure Synapse Analytics

Azure Data Factory

ETL pipelines

Jobbeschreibung

About Allica Bank

Allica is the UK’s fastest growing company - and the fastest‑growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.

Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.

Role Description

As a Data Engineer / BI Analyst at Kriya, you'll own the flow of data from our source systems through to the reports and insights the business relies on every day. You'll build and maintain the pipelines that bring data together, model it in Power BI so teams can self‑serve, and work directly with stakeholders to turn business questions into datasets and reports they can trust.

This is a broad, hands‑on role spanning both data engineering and BI, with a high degree of autonomy. You'll also own key recurring data processes end‑to‑end and the tooling behind them (Power BI, Synapse Analytics). The role includes building Power BI semantic models and reports, but it is not primarily a business‑insights or analyst position. Success means reliable pipelines, trustworthy curated data, maintainable semantic models, safe releases, and effective production support. Insights and analytics are a plus.

A key part of the role is making data accessible through AI, enabling business users to ask questions of our data in natural language, so trusted answers aren’t gated behind a report request or a SQL query.

Principal Accountabilities

• Deliver trusted, analysis‑ready data. Own the data flow from source systems to the reports the business relies on, so decisions are made on data people can trust.

• Keep the data platform running. Keep extraction, transformation, feeds and scheduled reports flowing reliably - "keep the lights on" for data.

• Support data‑driven decisions with BI models, reports, and dashboards.

• Enable business users to self‑serve through training and knowledge sharing. Make data available via AI so users can ask questions about data in natural language.

Detailed:

• Data engineering: design, implement, and optimise data pipelines for extracting, transforming, and loading (ETL/ELT) data from multiple sources, ensuring scalability, reliability, and cost‑effectiveness.

• Data quality and integrity: implement best practices for data validation, cleansing, and governance to guarantee high‑quality, consistent, and reliable datasets.

• Data delivery: work directly with business stakeholders to scope and build bespoke datasets and reports supporting business decisions. Maintain data dictionaries, pipelines and delivery methods (SFTP feeds, Google Sheets integrations, etc).

• Data modelling (BI): Design and maintain the semantic layer in Power BI so business users can self‑serve reliably. Ensure models are well‑documented and consistent.

• Process ownership: Own end‑to‑end recurring data processes, like CAIS, DCM, data tapes. You will be working directly with internal and external stakeholders.

• Tool ownership: Own the data tooling end‑to‑end (Power BI, Synapse Analytics): configuration, security, access, maintenance, upgrades and user enablement/training.

• Maintenance: ensure observability, resolve problems, alerts, incidents and BAU requests

Personal Attributes & Experience

• Fluent in English

• Ability to work UK working hours

• 5+ years of experience as DE/BI

• solid SQL, Azure Synapse (or Azure Data Factory), PowerBI skills

• Python, Google Cloud Platform, Looker are nice to have

• Experience in a regulated industry (financial services, healthcare) where audit trails and data accuracy have compliance implications and some reports are deadline‑sensitive.

Working at Allica Bank

At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers.

Our employees are at the heart of everything we do, so our benefits are designed with you in mind:

• Full onboarding support and continued development opportunities

• Options for flexible working

• Regular social activities

• Pension contributions

• Discretionary bonus scheme

• Private health cover

• Life assurance

• Family friendly policies including enhanced Maternity & Paternity leave

Flexible working

We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate.

Diversity

We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.