Senior Data Engineer (Kriya)

Allica Bank

Bengaluru

Hybrid

INR 11,533,000 - 15,377,000

Full time

14 days+

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Job summary

As a Data Engineer / BI Analyst at Kriya, you will own the data flow from source systems to reports used by the business. Build and maintain pipelines, model data in Power BI for self-serve analytics, and partner with stakeholders to create reliable datasets and trusted reports.

You’ll manage end-to-end data processes and the tooling behind them, including Power BI and Synapse Analytics. This role spans data engineering and BI with significant autonomy.

Qualifications

  • 5+ years of experience as DE/BI in data engineering or BI roles.
  • Proficient in SQL and Azure Synapse.
  • Experience with Power BI semantic models and reports.
  • Ability to work UK working hours.
  • Experience in regulated industries with audit trails and data accuracy requirements.
  • Nice to have Python, Google Cloud Platform, Looker.

Responsibilities

  • Design, implement, and optimise data pipelines for ETL/ELT from multiple sources.
  • Design and maintain the Power BI semantic layer for self-serve analytics.
  • Collaborate with stakeholders to scope and build datasets and reports.
  • Maintain data dictionaries, pipelines, and delivery methods (SFTP, Google Sheets, etc).
  • Own end-to-end recurring data processes (CAIS, DCM, data tapes).
  • Oversee data tooling (Power BI, Synapse): security, access, maintenance, upgrades.

Skills

Fluent English
UK working hours
5+ years DE/BI
SQL
Azure Synapse
PowerBI
Looker
Python
Google Cloud Platform
Regulated industry experience

Tools

Power BI

Job description

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.

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.

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
  • 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
  • SQL, Azure Synapse (or Azure Data Factory), PowerBI
  • Nice to have: Python, Google Cloud Platform, Looker
  • 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
Don’t tick every box?

Don't worry if you don't have all the skills or requirements listed on the job description. If you think you'll be a good fit, we'd still love to hear from you!

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.

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