Senior Data Engineer

🕒 June 19

🇨🇦 Canada – Remote

💵 $120k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Flinks

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💼 Consulting

📦 Logistics

💳 Fintech

Consulting • Logistics • Fintech

Flinks is a company that provides financial data infrastructure to power innovation in the financial sector. It enables users to safely connect their bank accounts and transform raw transaction data into actionable insights, supporting open banking programs. Its solutions optimize loan underwriting, enhance digital banking, facilitate payments, and enable wealth management. By leveraging its extensive network of third-party applications, Flinks helps financial institutions innovate and build the financial systems of the future, serving the needs of fintech, wealth management, and traditional banking industries.

📋 Description

• Own and evolve the BigQuery data warehouse, dbt transformation layers, Airflow/Cloud Composer orchestration, and Pub/Sub ingestion • Build and operate ML platform training pipelines, model-serving infrastructure, CI/CD, containerization, and typed contracts • Take operational ownership of model-serving infrastructure and production reliability • Improve schemas, resolve data-quality issues, and establish trustworthy source-of-truth feeds • Establish data governance, observability, and operational metrics • Standardize data engineering patterns, tooling, and pipelines across product lines • Partner with Data Science, backend, Product, Engineering, and QA teams on producer-to-consumer data contracts • Build scalable pipelines processing large volumes of financial data • Design and maintain datasets, data models, and feature pipelines for ML and product teams • Develop cost-efficient, high-performance data services supporting real-time and batch workloads • Contribute to data platform architecture as Flinks scales its financial intelligence products

🎯 Requirements

• 5+ years of hands-on Data Engineering experience designing, building, and operating production data platforms, pipelines, and warehouse solutions in a cloud environment • Strong experience with ETL/ELT development, data modeling, schema design, orchestration, data quality, lineage, and warehouse optimization • Experience with BigQuery, dbt, Airflow, or equivalent modern data tooling is highly desirable • Expert SQL and strong Python skills • Experience with modern cloud-native data ecosystems, including data warehouses, event-driven architectures, distributed processing, and platform observability • Demonstrated ownership of production systems, including monitoring, reliability, performance tuning, cost optimization, incident response, and ongoing platform improvements • Experience supporting machine learning workflows, feature pipelines, model-serving infrastructure, or MLOps environments is an asset • Ability to partner effectively with Data Science, Product, Engineering, and QA teams • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field, or equivalent practical experience • Must be legally authorized to work in Canada

🏖️ Benefits

• Health & Dental coverage as of Day 1 • Flexible Paid Time Off (FTO) • Remote work environment with frequent in-person gatherings and activities • Career development, learning opportunities and growth • Accommodation support for persons with disabilities