What you will do
- Build and maintain scalable, distributed, fault-tolerant data pipelines on GCP, including BigQuery-based lakehouse layers and Dataproc-driven Delta Lake workflows;
- Participate in meetings with stakeholders across data engineering, compliance, and business teams globally;
- Build pipelines to acquire, normalise, transform, and release large volumes of financial data;
- Design and implement bitemporal data models on BigQuery;
- Build and maintain software testing frameworks for data pipelines and transformation logic;
- Take ownership of solutions including ingestion pipelines, QA workflows, correction management, and audit trail implementation;
- Collaborate with team members and contribute to shared platform services;
- Support teams in implementing AI solutions and integrating services with data platforms.
Must haves
- 6-8 years of experience in data engineering;
- Proficiency in Python for data pipeline development and automation;
- Strong SQL skills with BigQuery including partitioning, clustering, and time-series queries;
- Hands-on experience with Cloud Composer (Apache Airflow);
- Working knowledge of Dataproc (Apache Spark);
- Experience with Git for versioning and collaboration;
- Familiarity with REST APIs;
- Familiarity with GCP technologies including Cloud Storage, Pub/Sub, Datastream, Cloud Monitoring, IAM, and VPC Service Controls;
- Upper-intermediate English level.
Nice to haves
- Knowledge of pandas, PySpark, or equivalent;
- Knowledge of columnar storage and time-series analytics;
- Familiarity with Dataplex;
- Understanding of Change Data Capture patterns using Datastream;
- Understanding of bitemporal data modeling concepts;
- Understanding of financial reference data;
- Familiarity with BigQuery cost management;
- Exposure to CI/CD pipelines and Terraform;
- Experience with LLMs and Agentic AI using Vertex AI.
The Data Engineer role focuses on building and evolving scalable data solutions on Google Cloud Platform to support complex data ecosystems. You will work with technologies like Python, SQL, BigQuery, and Airflow to enable reliable data processing and analytics. This opportunity offers exposure to modern data architectures, AI-driven solutions, and collaboration across global teams, driving impactful data innovation.
About the role
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Your AgileEngine journey starts here
2 min
Tell us about yourself
2 sec
Confirm requirements
30 - 60 min
Pass a short test
5 min
Record a short video
→ Introduce yourself on a video, instead of waiting for an interview
Live interview
Ace the technical interview with our team
→ Schedule a call yourself right away after your video is reviewed
Live interview
Final interview with your team
→ Get to know the team you will be working with
Get an offer
As quick as possible
