Dawn InfoTekInc is a professional IT consulting team that partners with major financial institutions, investment firms, and government sectors. We have been dedicated to delivering cutting‑edge consulting services and recruiting all levels of IT positions for our clients.

We are currently seeking competent individuals to fulfil the role of Bilingual (English/Spanish) Data Engineer to join our dynamic team for our client, one of the major banks.

Location Address: Hybrid 4x/week starting in September
Contract Duration: ASAP to Oct 31, 2025 – approx. 2.5 months
Good possibility of extension

Typical Day in Role

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

Build different data pipelines to ingest into cloud for each country due to multiple technologies.

Run processes from repositories into cloud including data management, connections, patterns, and ensure a clear vision for all the data sources; understand how data is managed in each country and work with them; internally organise and standardise 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.

Migrate data as the final goal.

Receive use cases from business – sometimes mortgage, AML, analytics – and prioritise data pipelines accordingly.





Data modelling to connect different needs from the business.

Standardise data from different sources and countries so that Canadian banking stakeholders can understand.

Translate local business processes into global business processes.

Documentation and communication will be in English; local communication with the remote teams in the respective countries will be in Spanish.

Main tool will be GCP and BigQuery for data storage.

Composer (Airflow on Prem) 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 minimise 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

8+ years of experience as a Data Engineer, with recent experience working with ETL.

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

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

3+ years’ experience with GCP tools such as BigQuery, Dataflow, Pub/Sub, or Cloud Composer, Airflow.

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

Nice‑To‑Have Skills

3+ years’ experience with data modelling, schema design, and data warehousing concepts.

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

Understanding of data governance and security practices in cloud environments.

Experience from FI/banking.

Experience working in an Agile environment.

Soft Skills Required

Strong problem‑solving skills and ability to work collaboratively in a team workplace.

Effective communication skills to translate technical concepts to non‑technical stakeholders.

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

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📌 Bilingual (English/Spanish) Data Engineer (Ontario)
🏢 Dawninfotek
📍 Ontario