We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.

Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,700+, and has 57 offices in 22 countries within key global markets.

Our challenge

We are seeking skilled Data Engineer and Analytics Specialist who delivers enterprise data engineering, business intelligence, and analytics solutions across multiple projects and hybrid or cloud environments. This role designs and operates data pipelines, warehouses, lakehouses, dimensional models, dashboards, and analytical solutions using technologies such as Python, PySpark, SQL, Azure, Databricks, Microsoft Fabric, Power BI, and related platforms. The position translates business requirements into reliable data and analytics products, communicates insights to stakeholders, and supports modernization, automation, and informed decision-making.

The Role - Data Engineer and Analytics Specialist

Responsibilities:

- Design, build, maintain, and optimize scalable data pipelines across on-premises, hybrid, and cloud platforms, including Azure, Databricks, Microsoft Fabric, GCP, and AWS.
- Develop and support data warehouse and lakehouse solutions using star schemas, snowflake schemas, fact tables, dimension tables, data marts, and other enterprise data models.
- Plan, execute, validate, and support data migration and modernization initiatives across on-premises, cloud, and cross-database environments.
- Develop end-to-end ETL/ELT workflows using Python, PySpark, SQL, SSIS, Azure Data Factory, Fabric Data Factory,



Dataflows, notebooks, and other data integration tools.
- Implement data quality validation, error handling, logging, monitoring, scheduling, performance tuning, security controls, and access management for reliable data operations.
- Create executive dashboards, KPI reports, self-service BI solutions, and interactive Power BI reports using DAX and appropriate visualization techniques.
- Analyze trends, patterns, anomalies, and business performance using Python, R, statistical methods, predictive models, and AI-enabled techniques, and communicate findings to technical and non-technical audiences.

Requirements:

- Minimum 4 years of experience building executive dashboards, KPI reporting, self-service business intelligence solutions, and business performance reports.
- Minimum 4 years of experience working with cloud modernization initiatives or hybrid and cloud data platform implementations.
- Minimum 2 years of experience planning, executing, validating, and supporting data migrations across on-premises, cloud, and cross-database environments.
- Minimum 4 years of experience designing enterprise data warehouses or lakehouses using star schemas, snowflake schemas, and fact-and-dimension modeling.
- Minimum 5 years of experience working as a Data Engineer and/or Data Analyst.
- Minimum 5 years of experience using Python, including PySpark, and SQL to develop, orchestrate, optimize, and troubleshoot enterprise-grade ETL/ELT workflows.
- Minimum 4 years of experience designing and implementing ETL processes and data pipelines that transform and load data from multiple sources into data warehouses or lakehouse environments.

Nice to Have

- Minimum 1 year of experience using AI-assisted development tools to improve productivity, code quality, documentation, testing, and data engineering workflows, with appropriate review and quality controls.




- Minimum 2 years of experience designing, implementing, or maintaining DevOps, CI/CD, and Infrastructure as Code practices for automated deployment and management of cloud-based data platforms.
- Experience with modern data technologies such as Microsoft Fabric, Databricks, Spark, and Delta Lake, as well as supporting enterprise-scale public-sector applications in public-sector or mixed-delivery environments.

We can offer you

- A multinational organization with 57 offices in 22 countries and the possibility to work abroad
- 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days)
- A comprehensive insurance plan including: medical, dental, vision, life insurance, and long term disability
- Flexible hybrid policy to fit your schedule
- RRSP with employer’s contribution up to 4%
- A higher education certification policy
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Synclusive’ is committed to fostering an inclusive culture – promoting equality, diversity and an workplace that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company.

We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

📌 Data Engineer and Analytics Specialist (Calgary Metropolitan Area)
🏢 Synechron
📍 Calgary Metropolitan Area