Bilingual (English/Spanish) Data Engineer

Dawninfotek; Toronto; On-site; CAD 90,000 - 130,000; Part time

Job summary

Dawn InfoTekInc in Canada is seeking a skilled Data Engineer to join our client’s team on a 2.5-month contract. You will build and operate data pipelines on Google Cloud Platform, moving data from on-premise systems to the cloud while coordinating with teams in Canada, Mexico, Chile and Peru.

The role requires English and Spanish proficiency, strong SQL, Python/Java, and experience with BigQuery, Dataflow, Pub/Sub, and AirFlow. Hybrid work 4 days per week starting September.

Qualifications

• 8+ years of Data Engineer experience with ETL workloads.
• Bilingual in English and Spanish with professional proficiency.
• 3+ years building data pipelines on cloud platforms, preferably GCP.
• 3+ years hands-on with GCP tools such as BigQuery, Dataflow, Pub/Sub or Cloud Composer/AirFlow.
• 5+ years programming in Python or Java and advanced SQL.

Responsibilities

• Move data from on-prem to cloud and standardize datasets across multiple countries.
• Design, develop, and maintain data pipelines and infrastructure on GCP.
• Collaborate with data scientists and product managers to deliver data solutions.
• Translate business use cases into scalable data models and pipelines.
• Ensure data quality, governance, and security in cloud environments.
• Triage issues and optimize pipeline performance.

Skills

Data Engineer

ETL

GCP

BigQuery

Dataflow

Pub/Sub

AirFlow

Python

Java

SQL

Git

CI/CD

English Spanish

Problem Solving

Education

Bachelor's degree in Computer Science / IT

Tools

GCP

BigQuery

Dataflow

Pub/Sub

Cloud Composer

AirFlow

Job description

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 fulfill the role ofBilingual (English/Spanish) Data Engineerto join our dynamic team for our client, one ofmajor 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 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 clear 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

Soft Skills Required

• Strong problem-solving skills and ability to work collaboratively in a team environment.
• 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.