Senior Bilingual (Spanish/English) Data Engineer (8+ years of experience) to design and implement cloud data pipelines using GCP, BigQuery, and ETL processes- 41529
Our banking client is seeking a Senior Bilingual (Spanish/English) Data Engineer (8+ years of experience) to design and implement cloud data pipelines using GCP, BigQuery, and ETL processes- 41529

Location Address
Hybrid - Toronto – as of now, mandate is to come in 4x/week starting in September, this is subject to change for the team - want candidates in the GTA who are OK with this

Contract Duration
ASAP to Dec 31st (Possibility of Extension)

Schedule Hours
9am-5pm Monday-Friday; standard 37.5 hrs/week

Story Behind the Need
Business group: Technology Program Management & Transformation – team that manages cloud data integration and governance for IB, providing efficient and standardized solutions that enable different business areas to access and use data securely and effectively.

Project
International Banking – Data Migration and Transformation to Cloud

Mission
To develop and maintain a cloud platform that integrates data from various sources, standardizes processes, and facilitates data publication for consumers and producers, ensuring quality, security, and accessibility.

Scope
The primary objective of this project is to design and implement a unified cloud data platform for IB across different countries.

Impact: Efficient ingestion of data from multiple on-premises sources to the cloud.

Data transformation and standardization into organized layers (landing and standardization zones).

Rapid data delivery for bank teams requiring reports, indicators, or advanced analysis.

Incorporation of reusable data products for transversal consumption across the organization.

The project prioritizes agility in delivery, enabling tactical solutions (quick, connected to local sources) when necessary, while promoting progressive advancement toward fully cloud-based strategic solutions.

Typical Day in Role

Move data from on prem to cloud, working with Mexico Chile Peru as some of the main stakeholders.

There are multiple technologies in each country, so the goal is to build different data pipelines to ingest into cloud for each





Running processes from repositories into cloud including data management, connections, patterns, and ensure there is a transparent vision for all the data sources; main challenge is to understand how data is managed in each country and working with them; internally to organize and standardize data within the repository

Design, develop, and maintain data pipelines and infrastructure on Google Cloud Platform (GCP) to support the creation of scalable data products. Reporting to the Senior Data Engineer, this role focuses on implementing robust and efficient data solutions to enable data-driven decision-making and support business objectives.

Migration is final goal

Receiving use cases from business – sometimes mortgage, AML, analytics and they will need to prioritize data pipeline accordingly

Data Modelling to connect different needs from the business

Standardize data from different sources and countries so that the Canadian banking stakeholders can understand

Translate local business processes into global business ones

Documentation and communication will be in English, though local communication with the remote teams for the respective countries will be in Spanish

Main tool will be GCP and BigQuery for data storage

Composer (AirFlow onPrem) will be used for data transformation

Build and maintain data pipelines and ETL/ELT processes on GCP to ensure reliable and efficient data flow for data products.

Collaborate with the Senior Data Engineer and cross-functional teams (e.g., Data Scientists, Product Managers) to understand requirements and deliver high-quality data solutions.

Implement data models, schemas, and transformations to support analytics and reporting needs.

Ensure data quality, integrity, and performance by monitoring and optimizing data pipelines.

Adhere to data governance, security, and compliance standards within GCP environments.





Troubleshoot and resolve issues in data pipelines to minimize downtime and ensure operational efficiency.

Contribute to the adoption of best practices and tools for data engineering, including documentation and testing.

Stay updated on GCP services and data engineering trends to enhance pipeline capabilities.

Candidate Requirements/Must Have Skills

1) 8+ years of experience as a Data Engineer, with some recent experience working with ETL

2) Bilingual in English and Spanish required (verbal / written professional proficiency in both)

3) 3+ years of hands-on expertise in building data pipelines on cloud platforms, with a preference for Google Cloud Platform (GCP)

4) 3+ years’ experience with GCP tools such as BigQuery, Dataflow, Pub/Sub, or Cloud Composer, AirFlow

5) 5+ years’ experience in programming languages like Python or Java and advanced SQL for data processing

Nice-To-Have Skills

1) 3+ years’ experience with data modeling, schema design, and data warehousing concepts.

2) Familiarity with version control systems (e.g., Git) and basic CI/CD practices is a plus.

3) Understanding of data governance and security practices in cloud environments.

4) Experience from FI/banking

5) Experience working in an Agile environment

Education
Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.

Best VS. Average Candidate
Ideal candidate needs to have solid knowledge of end-to-end pipeline processes and able to describe it in detail, how data is handled, cleaned, organized and built; bilingual in Spanish is crucial to deal with international stakeholders, Data modelling experience is important for at least 1 of the hires; experience with cloud technologies is very important.

Possible previous titles
Cloud data engineers, ETL data engineers

Candidate Review & Selection

2 rounds – MS Teams Video Interviews –going through experience, testing language skills, there may be a technical assessment

1st – with senior Data Engineer on the team, and possibly Delivery Director – 30 minutes

2nd – with HM (Data Science Director) – 30 minutes

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📌 Senior Bilingual (Spanish/English) Data Engineer (8+ years of experience) to design and implement cl
🏢 S.i. Systems
📍 Ontario