Data Engineer

What is the opportunity?
As a Data Engineer, you will design, implement, and support data engineering solutions and processes across a global organization. We are seeking a Data Engineer with extensive hands-on experience in designing and developing data platforms. This role requires strong data architecture and engineering skills, effective written and verbal communication, a strong work ethic, and the ability to multi-task effectively. Additionally, you must possess strong interpersonal, organizational, and problem-solving skills, along with a demonstrated sense of urgency to respond to changing priorities.

What will you do?

• Work closely with the data team and other stakeholders to understand their data requirements and assist in building data solutions that cater to their needs.

• Design, develop, and support new and existing data pipelines, recommending improvements and modifications.

• Communicate strategies and processes around data modeling and architecture to cross-functional groups. Identify, design, and implement internal process improvements.

• Utilize your expertise in data transformation techniques to enrich raw data, making it more accessible and valuable for analytics and reporting purposes.

• Build and implement ETL frameworks to improve code quality and reliability.

• Develop scripts and programs for converting various types of data into usable formats.

• Ensure the accuracy and consistency of data processing, results, and reporting.

What do you need to succeed?

Must Have

• At least 3 years of hands-on experience as a Data Engineer, with a proven track record of delivering robust data solutions.

• Extensive experience in building and optimizing data pipelines, architectures, and data sets.

• Strong expertise with data technologies and tools.

• Comprehensive experience with full end-to-end data solutions, including assessing data needs, data modeling, and data visualizations.

• Proficiency in programming languages such as Python and SQL.

• In-depth knowledge of SQL and NoSQL solutions, including data modeling and optimization.

• Expertise in designing and implementing scalable data architectures and pipelines.

• Experience in defining and building scalable ETL/ELT workflows for reporting and analytics.

• Excellent collaboration skills with a demonstrated ability to adapt to challenges, coach, and mentor team members.

• Strong communication and analytical skills, including conceptual thinking, requirements interpretation, solution creation, and problem-solving abilities.

Nice to Have

• PhD or Master's degree in Statistics, Mathematics, Computer Science, or a related field.

• Experience working in a financial institution.

• Experience with data governance, ensuring data quality, and compliance.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• A world-class training program in financial services

• Opportunities to do challenging work, opportunities to take on progressively greater accountabilities and opportunities to building close relationships with clients

• Access to a variety of job opportunities across business and geographies.

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