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Delhi · Delhi, Delhi, NCT, India
Live, first seen by us 33 days agoLocation type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Kriya › EngineeringFrom the employer’s posting
Location We can only accept applicants from the UK. Please confirm the nearest Town/City you currently reside inFrom the employer’s application form
Will you now, or in the future require sponsorship to work in the UK? Not all roles can be supported by UK sponsorship legislation and in most cases you must already reside in the UKFrom the employer’s application form
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.
This is a broad, hands-on role spanning both data engineering and BI, with a high degree of autonomy.
Design and optimise ETL/ELT pipelines from multiple sources
Own recurring data processes end-to-end, such as CAIS, DCM and data tapes
Design and maintain Power BI semantic layer for self-service
Build bespoke datasets and reports with business stakeholders
Make data available to users via natural language AI queries
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.
design, implement, and optimise data pipelines for extracting, transforming, and loading (ETL/ELT) data from multiple sources
Own end-to-end recurring data processes, like CAIS, DCM, data tapes.
Design and maintain the semantic layer in Power BI so business users can self-serve reliably
work directly with business stakeholders to scope and build bespoke datasets and reports supporting business decisions
Make data available via AI so users can ask questions about data in natural language
5+ years of experience as DE/BI
solid SQL
Azure Synapse (or Azure Data Factory)
PowerBI skills
Fluent in English Ability to work UK working hours
From the employer’s posting.
Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.
In the employer’s words · Read in context · Company website ↗
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 33
Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
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
- 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
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.
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.
- 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.
- 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
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
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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Delhi, Delhi, NCT, India
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
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