Related keywords: entry level remote jobremote job entry leveldata entry remote job
The role of Manager, Data Engineer at Wavestone presents a unique opportunity for those with robust data engineering experience looking to take on a leadership position within a dynamic consulting firm. This position requires not only technical expertise but also the ability to strategize and manage relationships with C-level executives and high-profile clients.
In this role, you will lead and support high-impact data transformation and modernization initiatives. Specifically, your responsibilities include:
Leading complex client engagements in data engineering and digital transformation from conception to execution.
Advising C-level executives on data strategy, architecture, and governance to drive measurable business value.
Architecting and implementing enterprise-scale data platforms using cloud technologies such as Azure, AWS, and Snowflake.
Overseeing and optimizing ETL/ELT processes to ensure high data quality across organizations.
Translating business objectives into actionable technical roadmaps by balancing innovation and operational excellence.
Mentoring teams to foster a culture of technical excellence and continuous learning within the firm.
Driving business development initiatives by shaping proposals and leading client pitches.
The ideal candidate for this position will possess a broad set of technical skills and proven leadership experience. The specific requirements include:
A Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field.
8+ years of experience in data engineering, analytics consulting, and data architecture with 2 years in a management role.
Strong proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks).
Experience with leading cloud data platforms and a deep understanding of data governance and quality.
Proven capabilities in managing project delivery, team leadership, and client relationship management.
Strong problem-solving skills, along with exceptional analytical and communication abilities.
While the specific salary for this position has not been disclosed, Wavestone offers a competitive compensation package that includes:
Participation in a corporate bonus program (base 15% for achieving baseline targets).
Matching contributions to retirement plans (401k or RRSP), up to 4% of the base salary.
Paid vacation (3 to 4 weeks depending on level), public holidays, sick days, and professional development training days.
Health benefits, including dental and vision coverage, along with additional OHIP supplemental plan options.
A laptop and phone to support remote work infrastructure.
This position is full-time and based in Ontario, Canada. Candidates should expect variable travel requirements based on project needs. As a global consulting firm, Wavestone promotes diversity and inclusion, and it aims to be an employer of choice with a positive corporate culture.
Wavestone is a leading consulting powerhouse striving for excellence in client service while ensuring a positive work environment for its employees. The firm’s values are embodied in its motto, “The Positive Way,” which emphasizes energy, responsibility, and teamwork.
Wavestone seeks individuals who are passionate about making a positive impact and who excel in collaborative environments. The firm caters to its clients' strategic transformations and emphasizes the importance of professional growth for its employees, fostering an innovative and inclusive workplace.
This position is ideal for professionals ready to undertake a significant leadership role in data engineering while working on transformative projects in a collaborative and diverse environment. If you have the discussed qualifications and a desire to make a real difference in the field of data engineering, this might be the right opportunity for you.
This job offer was originally published on himalayas.app
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
