Data Engineer

Job Description

Enabling Qapital Ltd. (EQ) is a FINMA‑regulated, leading Swiss impact asset manager dedicated to a world where investments generate financial, social, environmental, and economic returns.

EQ currently manages USD 750 million in assets across Microfinance (Private Debt), Access to Energy / Clean Cooking, and listed emerging market bonds.

The team consists of over 65 members, speaking more than 21 languages and representing 14 nationalities.

Enabling Qapital is moving money to meaning!

Role Summary

The Data Engineer role presents a unique opportunity to leverage your expertise and experience in contributing to a mission‑driven organization with a global impact. As part of the Portfolio and Data Analytics (PDA) Team, you will work on EQORIS, the organization’s central data platform, and play a crucial role in advancing Enabling Qapital’s data capabilities and infrastructure. The role’s key functions are centered on three main pillars.

Data Modelling & Engineering

• Data Acquisition – managing ETL / ELT platforms for investment monitoring, portfolio management, and research, capable of handling large datasets; includes indexing data at EQ for reusability and discoverability.
• Data Governance – cataloging the thousands of datasets at EQ to enable discovery, managing access rights, maintaining data quality, and tracking complete data lineage.
• Implement data quality checks, testing, and version control for analytics workflows.
• Partner with data engineers to ensure data pipelines are reliable, efficient, and accurate.
• Design, build, and maintain scalable data models (e.g., using dbt or similar frameworks).
• Transform raw data into structured, well‑documented datasets in the data warehouse.

Analytics & Reporting

MIS

Job Specification

Who you are

We are looking for a highly motivated and outspoken candidate with working experience in financial data science and a compelling personal background. Key attributes and skills you bring to this exciting role are :

Essential Skills

Advantageous

Whom will you work with

The Data Engineer will work closely with the Data Analytics Team. They will also liaise with EQ’s Risk Management team to highlight key risks and support the Senior Management Team in gaining an overview of EQ's overall data analytics process.

What we offer

Location

Remote Role : Preferably in India (Bangalore) or Pakistan (Karachi).

Application

Deadline application : 30 November 2025

To apply, visit the link :

Make sure to include application documents, salary expectations, and possible starting date.

Application, CV, cover letter, and a portfolio of relevant data analysis projects to be submitted in English.

Thanks for your interest, but ONLY shortlisted candidates will be contacted for interviews.

Equal Employment Opportunity

Enabling Qapital Ltd. (EQ) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, tribe, colour, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran. This applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and staff development. Women and minority candidates are encouraged to apply.

Job Rewards and Benefits

Incentive Bonus,Leaves

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