Manager, Data Engineer

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Wavestone

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Consulting • SaaS • Cybersecurity

Wavestone is a consulting firm that operates globally, providing strategic transformation services across various sectors and disciplines. They offer cutting-edge technology solutions with a focus on cybersecurity and sustainability. With more than 5,500 employees in 17 countries, Wavestone is committed to delivering holistic, end-to-end capabilities to their clients, ensuring seamless implementation and exceeding customer expectations. Their services span IT strategy, data and AI advisory, and regulation and risk management.

1001 - 5000 employees

Founded 2015

☁️ SaaS

🔒 Cybersecurity

📋 Description

• Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation. • Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value. • Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake , Databricks, etc.). • Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations. • Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence. • Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance. • Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings. • Stay at the forefront of emerging technologies and industry trends in data engineering, AI/ML, and cloud platforms.

🎯 Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience. • 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role. • Demonstrated success in client-facing roles, ideally within a consulting or professional services environment. • Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow). • Experience with cloud data platforms (Azure, AWS, GCP, Snowflake). • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus. • Exceptional problem-solving, analytical, and communication skills. • Ability to travel based on client need. • Deep experience in Insurance, Pharma, or Financial Services.

🏖️ Benefits

• Participation in corporate bonus program – base 15% for achieving baseline targets, paid at the end of June. • Matching employee contributions to retirement plan (401k or RRSP) to a maximum of 4% of employee’s base salary • 3 weeks paid vacation (AC/C) or 4 weeks paid vacation (SC and above) per calendar year (or pro rata for employees starting after January 1 st ) • Vacation should be used within the calendar year with limited options to roll over remaining days into the first 3 months of the following year • 10 days off for public holidays • 5 sick days per year • 5 training days available for personal advancement • Company laptop and phone (transitioning from company provided iPhone to BYOD program that incorporates a monthly usage payment) • Allowance to promote ergonomic and effective work from home infrastructure – dependent on individual needs • Health benefits • Enrollment in OHIP supplemental plan that seeks to align benefit options (where it makes sense and where economically practical) with US team e.g. dental, vision, LTD • For employees who are required to work in a location with a different tax authority, Wavestone will support the filing and advance payment of any tax obligations – any tax refunds directly attributable from Wavestone payments should returned to Wavestone when received by the employee