Data engineer in operational risk management

Itransition

United States

Remote

USD 120,000 - 160,000

Full time

45 hours ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Corporate medical insurance
Gym membership
5 days of paid sick leave

Job summary

Itransition is seeking a London-based Data Engineer (Databricks) to design and implement scalable data solutions for clients in the Operational Risk Management domain. You will work with stakeholders to translate data requirements into robust architectures and ELT/ETL pipelines using modern data stack tools.

The role requires hands-on Databricks and SQL/Python expertise, cloud experience on Azure/AWS, strong communication, and ability to adapt to diverse business domains within agile, fast-paced

Qualifications

  • 5+ years of hands-on data engineering experience.
  • Experience with Databricks Lakehouse Platform.
  • Strong SQL and Python skills.
  • Cloud deployment experience (Azure/AWS).
  • Excellent stakeholder communication.
  • Agile project experience.

Responsibilities

  • Surface data requirements with client stakeholders and audit systems.
  • Architect scalable, future-proof data solutions for clients.
  • Build and maintain production-grade ELT/ETL pipelines.
  • Deploy and govern cloud data platforms on Azure and AWS.
  • Create technical docs and lead knowledge transfer to client teams.
  • Support project scoping, estimation, and reporting with delivery managers.

Skills

Data engineering
Databricks
SQL
Python
Cloud deployment
Stakeholder comms
Agile

Tools

Snowflake
Databricks Certification

Job description

Описание

We're looking for a London-based Data Engineer (Databricks) who will work closely with clients in Operational Risk Management domain to design and implement scalable data solutions tailored to their business needs. This role demands both technical expertise and soft skills, as you'll be translating complex data requirements into actionable architectures and pipelines while engaging directly with stakeholders.

Задачи

Interact with client stakeholders to surface data requirements, audit existing systems, and architect scalable, future-proof solutions Building medallion architecture and strong canonical models for ORM Design, build, and maintain production-grade ELT/ETL pipelines using modern data stack tools and frameworks Deploy and govern cloud-based data platforms on Azure and AWS, selecting the right approach for each engagement's unique constraints Champion data governance, security, and compliance standards Produce clear technical documentation and lead knowledge transfer sessions that genuinely enable client teams to operate independently Support project scoping, estimation, and reporting with delivery managers and consultants

Требования

5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment Hands-on experience with Databricks Lakehouse Platform Strong SQL skills and proficiency in Python Experience designing and deploying solutions in cloud environments Ability to quickly grasp diverse business domains and adapt technical solutions accordingly Strong communication skills to interact with both technical and non-technical client stakeholders Experience working in agile, fast-paced project environments with shifting priorities Будет плюсом: Experience with Snowflake; Databricks or Snowflake certifications (e.g., SnowPro Core, Databricks Certified Data Engineer); Familiarity with BI tools such as Power BI, Tableau, or Looker; Previous experience in sectors like finance, healthcare, retail, or manufacturing is a plus

Условия

Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely English courses online Corporate medical insurance covering services of private and public medical centers Corporate parties and events for employees and their children Gym membership compensation, corporate sport competitions (cybersport included) 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Data engineer
Data engineer

Digipal • United States

Remote
USD 120,000 - 180,000
Remote work setup
Competitive compensation
Opportunities for growth
+2
Data architect for wealth management
Data architect for wealth management

Itransition • United States

Remote
USD 150,000 - 230,000
Гибкий рабочий график
Удаленная работа
Медицинская страховка
data engineer in regulated financial services
data engineer in regulated financial services

DataArt • United States

On-site
USD 120,000 - 190,000
Data engineer
Data engineer

AgileEngine, LLC. • United States

Hybrid
USD 120,000 - 160,000
Mentorship program
Tech Talks
Growth roadmap
+1
Data engineer
Data engineer

Inetum • United States

Remote
USD 46,000 - 77,000
A cafeteria system
Generous referral bonuses
Revenue sharing opportunities
+5
Data Engineer
Data Engineer

Sigma Software • United States

Remote
USD 120,000 - 180,000
Data engineer
Data engineer

Exerizon • United States

Remote
USD 77,000 - 108,000
Remote work from Poland
Competitive compensation
data engineer for financial reporting
data engineer for financial reporting

Andersen • United States

Remote
USD 140,000 - 180,000
Private health insurance
Professional growth & mentoring
Bonus opportunities up to 1000 EUR/mo.
+1
Data engineer
Data engineer

Neotalent Conclusion • United States

Remote
USD 140,000 - 190,000
Remote work option
Continuous training and certifications
Internal mobility program
Echnical project manager in data platforms
Echnical project manager in data platforms

Hiflylabs • United States

Hybrid
USD 120,000 - 180,000