Senior Data Engineer

Allica Bank; Gurugram District; Hybrid; INR 9,042,000 - 14,208,000; Full time

Benefits offered by this job

Onboarding & development

Flexible working

Social activities

Pension

Discretionary bonus

Private health cover

Life assurance

Maternity & Paternity leave

Job summary

Allica Bank is seeking a data engineer to join the data engineering team, building tooling and pipelines for data ingestion and modelling for partner agreements.

You will contribute to understanding our data landscape, developing scalable data pipelines, and embedding a data-driven mindset across teams with a focus on robust testing and governance.

Qualifications

• Previous experience as a data engineer in a start-up or fast-paced organisation.
• STEM background or similar.
• You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code).
• You have strong SQL skills.
• Deployed applications on cloud services.
• Experience in using orchestration tools (Airflow, Dagster or Prefect).
• Experience with container technology (Docker, Kubernetes).
• Experience with CI/CD pipelines (preferably Azure DevOps)
• Experience with application deployment to Cloud services (GCP, AWS, Azure preferred)

Responsibilities

• Understand our data landscape and architecture.
• Strong skillset in data modelling.
• Build and maintain data pipelines.
• Work with the team to engineer tools based on data requirements, manage development from prototyping to productionising.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improve existing tools for greater scalability, etc.
• Develop and maintain data and coding standards, produce well-documented codes with robust testing and aligned with our data governance.
• Helping us implement a data-driven mindset in the company.

Education

STEM background or similar

Tools

Python

SQL

Airflow

Dagster

Prefect

Docker

Kubernetes

Azure DevOps

GCP

AWS

Azure

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.

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

Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product and Management.

We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines and help model our data so that stakeholders and team members can extract better insights from it.

You will be an integral part of the data engineering team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnership's agreements.

Principal Accountabilities

• Understand our data landscape and architecture.
• Strong skillset in data modelling.
• Build and maintain data pipelines.
• Work with the team to engineer tools based on data requirements, manage development from prototyping to productionising.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improve existing tools for greater scalability, etc.
• Develop and maintain data and coding standards, produce well-documented codes with robust testing and aligned with our data governance.
• Helping us implement a data-driven mindset in the company.

Experience

• Previous experience working as a data engineer in a start-up or fast-paced organisation.
• STEM background or similar.
• You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code).
• You have strong SQL skills.
• Deployed applications on cloud services.
• Experience in using orchestration tools (Airflow, Dagster or Prefect).
• Experience with container technology (Docker, Kubernetes).
• Experience with CI/CD pipelines (preferably Azure DevOps)
• Experience with application deployment to Cloud services (GCP, AWS, Azure preferred)

Bonus Requirements

• Design and implement data frameworks.
• Experience with using data testing tools (Great Expectations, Soda, deequ).
• Experience with aspects of Data Governance.
• Experience with automation projects with Python Web, API frameworks in Python (Flask, FastAPI).
• You can share your GitHub repo (or equivalent)

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.