Posted 5 months ago
Senior Data Engineer - Financial
@ hireVouch
Toronto, Ontario
Overview
hireVouch is hiring a Senior Data Engineer for its Data & Analytics team to design and optimize enterprise-scale data platforms supporting financial reporting, planning and forecasting. The work centres on cloud data pipelines on AWS using Python and Apache Spark, working closely with finance and business teams. The posting states a flexible or hybrid location but no pay or schedule.
Responsibilities:
- Design and maintain scalable data pipelines for structured and unstructured data
- Build cloud data platforms and data lake architectures on AWS
- Develop ETL/ELT processes using Python and Apache Spark
- Design dimensional data models for financial analysis and forecasting
- Ensure data quality, governance and reliability
Requirements summary:
- Hands-on experience with Apache Spark, AWS and Python
- Proven track record building large-scale data pipelines
- Understanding of data warehousing and ETL/ELT methodologies
- Strong problem-solving and communication skills
- Experience with financial data is preferred
Tools & skills
Source and dates
Source type not verified · cats
- Employer posting date
- 2026-06-03
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
hireVouch
Saved company profile
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Full company description
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the often-employed aggressive methods typical of the recruitment industry, our focus is placed largely on referral-based networking. Getting it right really matters to us. Let us leverage our network of talent that has already been vouched for by leading professionals in the industry to help your business grow. Services Offered Contingency and Retained Search Here at hireVouch we focus on sourcing best-in-class candidates for rewarding positions in Canada and the US. We have extensive expertise in Contingency, Retained and Temporary placement, primarily within the IT sector. On-Site Search Assistance We have a trusted network of HR and search professionals who can provide on-site search services to help fulfill immediate needs as well as help train internal staff in finding the highest quality talent Company Marketing Strategy We know how competitive the job market can truly be and how important it is to have a strategy to attract talent. At hireVouch we have extensive expertise in helping companies better market themselves. We can provide the tools and knowledge that will assist you in making your business a highly attractive place to work. Developing a company marketing strategy is key to hiring the talent you need to grow.
- LinkedIn followers
- 68,412
- People associated on LinkedIn
- 7
- Reported office locations
- 215 Spadina Avenue, 4th Floor, Toronto, Ontario M5T 2C7, CA
- Other recorded names
- hireVouch
- Profile identifies a recruitment agency
- Yes
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the…
| Field | Value |
|---|---|
| Industry | Staffing and Recruiting |
| Company size | 2-10 employees |
| Headquarters | Toronto, Ontario |
| Organization type | Privately Held |
| Year founded | 2016 |
| Open jobs on Jobsy | 175 |
| View page |
Senior Data Engineer (Financial Analytics & Data Platforms)
Location: Flexible / Hybrid
Industry: Environmental Services
Department: Data & Analytics
Position Overview
We are seeking a highly skilled Senior Data Engineer to join our growing Data & Analytics team within a leading environmental services organization. This role will play a critical part in designing, building, and optimizing enterprise-scale data platforms that support financial reporting, planning, forecasting, and strategic decision-making across the business.
The ideal candidate combines deep technical expertise in modern data engineering technologies with strong analytical capabilities and experience working with financial datasets. You will collaborate closely with finance, operations, business intelligence, and data science teams to develop scalable data solutions that transform complex data into actionable business insights.
Key Responsibilities
- Design, develop, and maintain scalable, high-performance data pipelines that ingest, transform, and deliver large volumes of structured and unstructured data.
- Build and optimize cloud-based data platforms and data lake architectures using AWS services and modern data engineering best practices.
- Develop robust ETL/ELT processes using Python and Apache Spark to support analytics, reporting, and forecasting initiatives.
- Partner with Finance and business stakeholders to understand reporting requirements and translate them into reliable data solutions.
- Design and implement dimensional and multi-dimensional data models that support financial analysis, budgeting, forecasting, and operational reporting.
- Ensure data quality, consistency, governance, and reliability across enterprise data assets.
- Perform data profiling and exploratory data analysis (EDA) to identify trends, anomalies, and opportunities for improving business performance.
- Collaborate with data analysts, data scientists, and business intelligence teams to enable advanced analytics and decision-support capabilities.
- Monitor, troubleshoot, and optimize data workflows to ensure scalability, efficiency, and performance.
- Contribute to the evolution of data architecture standards, best practices, and engineering processes.
Required Qualifications
- Strong hands-on experience with Apache Spark, AWS, and Python in enterprise-scale data environments.
- Proven track record designing, building, and optimizing large-scale data pipelines and modern data platforms.
- Experience developing and maintaining cloud-native data solutions and distributed data processing systems.
- Strong understanding of data warehousing concepts, ETL/ELT methodologies, and data integration practices.
- Excellent problem-solving skills and the ability to work with complex datasets in a fast-paced environment.
- Strong communication skills with the ability to collaborate effectively across technical and business teams.
Preferred Qualifications
- Experience working with financial data, including financial reporting, budgeting, forecasting, planning, revenue analysis, cost management, or other finance-related datasets.
- Strong proficiency in exploratory data analysis (EDA) and translating business requirements into effective analytical data models.
- Experience designing dimensional and multi-dimensional data models to support enterprise reporting and analytics.
- Solid understanding of statistics and its application to data analysis, forecasting, trend identification, and decision support.
- Familiarity with financial performance metrics, KPIs, and analytical frameworks used in corporate finance environments.
- Experience supporting advanced analytics, predictive modeling, or forecasting initiatives.
What Success Looks Like
In this role, you will help establish a trusted and scalable data foundation that enables better financial visibility, operational efficiency, and strategic decision-making. Your work will directly support the organization's ability to analyze business performance, forecast future outcomes, and drive data-informed growth within the environmental services sector.
Ideal Candidate Profile:
A technically strong data engineer who enjoys building scalable cloud-based data solutions and has experience working with financial data and analytics. You are equally comfortable engineering robust data pipelines, modeling complex business data, and partnering with stakeholders to deliver meaningful business insights.
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