Data Conversion Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Conversion Engineer based in Canada. The role focuses on transforming and migrating complex utility data from legacy platforms into modern cloud-based solutions. You will contribute to critical data conversion initiatives, ensuring accuracy, reliability, and seamless customer transitions. Working within a collaborative technical services environment, you will develop ETL processes, optimize data workflows, and improve migration practices. This position offers the opportunity to strengthen your data engineering expertise while working with Python, SQL, automation, and large-scale data transformation projects. You will collaborate closely with technical teams and clients to deliver high-quality outcomes. It is an ideal opportunity for an early-career data engineer looking to grow within a mission-driven technology environment. Accountabilities The Data Conversion Engineer will support the successful migration of customer and operational data by building reliable data pipelines, improving conversion processes, and ensuring high-quality results throughout implementation projects. Lead and manage ETL migration activities across multiple projects, ensuring accurate, efficient, and timely data delivery. Develop and maintain extraction, transformation, and loading scripts using Python, SQL, and related data engineering tools. Analyze and profile complex source database structures, including relational and legacy systems, to support effective data mapping and migration. Perform data validation and quality assurance activities to ensure completeness, accuracy, and consistency of migrated datasets. Implement improvements based on feedback from clients and internal teams to enhance migration performance and reliability. Collaborate with technical and client-facing teams to integrate customer data into modern platforms and support successful project launches. Contribute to documentation, automation initiatives, process optimization, and data migration best practices. Participate in agile team activities, including standups and review sessions, while communicating progress, challenges, and opportunities for improvement. Requirements The ideal candidate is a detail-oriented and analytical data professional with experience in data engineering fundamentals, migration processes, and automation. They should enjoy solving complex problems and collaborating in a fast-paced technical environment. Experience developing solutions with Python, including use of the pandas library. Strong SQL skills and experience working with relational databases. Experience with data migration, ETL processes, scripting, and workflow automation. Understanding of system design, data structures, and technical analysis. Ability to analyze complex datasets and identify data quality issues. Strong problem-solving mindset with curiosity and willingness to learn new technologies. Ability to collaborate effectively with technical teams, clients, and cross-functional stakeholders. Strong communication skills and attention to detail. Experience in utility technology, billing systems, or large-scale data transformation projects is an asset. Benefits Remote-first work environment with flexible working hours across North America. Competitive total rewards package. Company-provided MacBook and an $800 allowance to create an ideal home workspace. Health, dental, vision, and life insurance coverage from day one. Generous paid time off and unlimited sick days. RRSP matching program for Canadian employees. Annual professional development fund of $2,500, tuition assistance, and learning programs. Opportunities for career growth and continuous skill development. Company events and team gatherings to strengthen collaboration. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The role involves developing ETL processes and scripts to migrate complex utility data from legacy platforms to cloud-based solutions. You will be responsible for data profiling, validation, and collaborating with technical teams to ensure seamless customer transitions.

Candidates should have strong proficiency in Python (specifically pandas) and SQL, with experience in data migration and ETL workflows. An analytical mindset and the ability to collaborate with cross-functional stakeholders are essential.

• Remote-first work environment • Flexible working hours • Competitive total rewards package • Company-provided MacBook • Home workspace allowance • Health insurance • Dental insurance • Vision insurance • Life insurance • Paid time off • Unlimited sick days • RRSP matching program • Professional development fund • Tuition assistance • Learning programs • Career growth opportunities

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• ETL
• Pandas
• Data Migration
• Data Profiling
• Data Validation
• Workflow Automation
• System Design
• Data Structures
• Technical Analysis
• Agile
• Relational Databases
• Data Mapping
• Scripting
• Problem Solving

• Data & Analytics
• Technology
• Software
• Engineering
• Energy

Expérience minimale

0+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Entry level

Mode de candidature

La candidature directe est offerte