Onboarding Engineer (India)

Novatus; India; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Private Medical Insurance (via AXA)

Life Insurance - 4x salary

Employee Assistance Programme

Enhanced parental leave

Professional qualification sponsorship

Flexible hours with core collaboration

Gym & fitness discounts

Bi-annual socials

Office snacks and drinks

Job summary

Novatus is seeking an Onboarding Engineer to drive the successful implementation of the EnACT platform for new institutions. You will work with the implementation team, clients, and internal stakeholders to translate data requirements into scalable technical solutions and ensure high-quality delivery.

You will build data pipelines in Python, Pandas, and SQL, optimise for performance, mentor colleagues, and promote AI tooling within the team while collaborating with business analysts and client

Qualifications

• Strong software engineering fundamentals and automated testing.
• Fluent in Python and the Python data ecosystem.
• Experience building large data pipelines and manipulating large datasets.
• Proficient in SQL and data modelling.
• Ability to translate regulatory or client requirements into technical specs.

Responsibilities

• Deliver onboarding and data processing for 2-5 clients concurrently.
• Develop scalable data processing solutions using Python and Pandas.
• Build software with unit tests and observability, monitoring and reporting.
• Design ingestion pipelines in Python/pandas mapping client data to EnACT format.
• Improve reliability and performance of onboarding pipelines through automation.
• Mentor team members and improve team processes.
• Champion AI tooling adoption within the engineering team.
• Collaborate with analysts, managers, and client tech teams on data needs.

Skills

Python

Pandas

SQL

Data pipelines

CI/CD

OOP

Testing

Vectorised operations

Tools

AWS

Databricks

Snowflake

Job description

Job Overview:

As Novatus continues to grow and expand, we are looking to hire an additional Onboarding Engineer. This role is critical to the successful implementation of the En>ACT platform for our clients. The successful candidate will work closely with our implementation team, clients, and internal stakeholders to onboard new institutions onto the platform, translate complex data requirements into scalable technical solutions, and ensure high-quality delivery across implementation projects.

This is an excellent opportunity for an engineer who enjoys solving complex data problems, working directly with clients, and contributing to a fast-growing technology platform within a dynamic and forward-thinking organisation.

Key Responsibilities

• Deliver technical onboarding and implementation data processes for 2-5 new clients concurrently, ensuring successful adoption of the En>ACT platform.
• Develop and maintain scalable data processing solutions using Python and Pandas, leveraging advanced techniques such as vectorisation to optimise performance and efficiently handle large-scale data sets.
• Build high-quality, reliable software through unit and automated testing, while implementing observability, monitoring, and reporting capabilities to track system performance, analyse key metrics, and support data-driven operational improvements.
• Design and build data ingestion and transformation pipelines in Python and pandas that map client-specific data into the format expected by the En>ACT platform, for large-scale financial datasets.
• Improve reliability and performance of the onboarding data pipeline through automation, testing, and observability.
• Mentor team members and continuously improve team processes.
• Champion AI tooling adoption across the engineering team, helping establish norms for AI-assisted development.
• Collaborate with business analysts, implementation managers, and client technical teams to understand client data and reporting requirements.

About You:

Required Experience:

• Strong software engineering fundamentals including OOP, clean code, automated testing, CI/CD and observability.
• Fluent in python, pandas and the python data ecosystem.
• Strong hands-on Python experience with a focus on pandas for data cleansing, validation, mapping and transformation (e.g. merges and joins, reshaping, type handling and vectorised operations).
• Proficient in data manipulations with vectorized solutions.
• Experience building large and complex data pipelines
• Experience ingesting and manipulating large, messy datasets from varied client formats (e.g. CSV, Excel, JSON, XML), including optimising for memory and performance, in regulated or high-integrity environments.
• Solid fundamentals in data modelling, SQL and database design.
• Ability to work effectively with a high degree of autonomy and accountability.
• Comfortable translating regulatory requirements into technical specs with non-engineering stakeholders.

Nice-to-haves:

• Experience working with AWS-based data infrastructure.
• Experience with modern data platforms such as Spark, Databricks or Snowflake.
• FinTech, RegTech, or financial services background.

Why Join Us?

Work Across Disciplines:

You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings.

Solve Problems that Matter:

Work on complex challenges, where your thinking, analysis, and execution have real impact.

Flat, Visible, Collaborative:

We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day.

A Place for Builders:

This is a great place for people who enjoy driving results and taking ownership.If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions.

Perks & Benefits:

• Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access
• Life Insurance - 4x salary (via Unum)
• Unums Help@Hand: includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren)
• Salary sacrifice childcare and nursery scheme (via YellowNest)
• Employee Assistance Programme
• Enhanced parental leave (maternity & paternity)
• Professional qualification sponsorship
• Accelerated career progression based on readiness and performance, not tenure or time spent in role
• Holiday entitlement increases with tenure
• Flexible hours with core collaboration time
• Paid volunteering leave
• Gym & fitness discounts
• Bi-annual socials
• Office snacks and drinks
• Interest-based working groups to collaborate and innovate

Novatus’ Equal Opportunities Statement:

Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010.

We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates.

Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements.

This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

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