Data Engineer (All levels) | Columbus (Hybrid) - Financial Services

Oliver Bernard; Columbus (OH); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive base salary

Strong bonus

Hybrid work in Columbus (3 days/week)

Job summary

Oliver Bernard is recruiting a Data Engineer (All levels) for a Hybrid role in Columbus, OH, serving the financial services sector. You will build Python-based data pipelines and design scalable workflows, working with large, complex datasets to modernize client data platforms.

Ideal candidates bring production Python experience, strong data-pipeline expertise, and the ability to collaborate with non-technical stakeholders.

Qualifications

• Strong Python engineering skills with production experience.
• Experience building and running data pipelines at scale.
• Comfortable with large, messy real-world datasets.
• Consultancy experience or ability to deal with non-technical stakeholders.

Responsibilities

• Build Python-based data pipelines and processing solutions.
• Design scalable data engineering workflows.
• Work with large enterprise datasets.
• Support the modernization of client data platforms.
• Collaborate with engineering, data and business teams to solve problems.
• Contribute to technical architecture and engineering standards.

Skills

Python

Data pipelines

Big data

Stakeholder comms

Consultancy

Job description

Data Engineer (All levels) | Columbus (Hybrid) - Financial Services

We're partnered with a global management consulting firm that works with leading organisations across financial services, technology and a wide range of other industries.

Technology and data now sit at the center of those programs, so the client is growing its engineering capability in Columbus - hiring experienced Data Engineers to join the team.

What you’ll be doing

• Building Python-based data pipelines and processing solutions


• Designing and developing scalable data engineering workflows


• Working with large, complex enterprise datasets


• Supporting the development and modernization of client data platforms


• Working with engineering, data and business teams to solve difficult problems


• Contributing to technical architecture and engineering standards

What we’re looking for

• Strong Python engineering skills, with production experience rather than just scripting


• Solid experience building and running data pipelines at scale


• Comfortable working with large, messy, real-world datasets


• Consultancy experience is a must-have (or proven experience dealign with non-technical stakeholders)

Competitive base salary + strong bonus

Hybrid working, 3 days per week in the Columbus office