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Senior Data Engineer - eFinancialCareers in London

Energy Jobline ZR

City Of London

On-site

GBP 80,000 - 100,000

Full time

Today
Be an early applicant

Job summary

A leading data technology firm in the City of London seeks a Senior Data Engineer. Responsibilities include designing data pipelines and collaborating with stakeholders to enhance trading strategies. Ideal candidates will have extensive experience with Python, cloud technologies, and a passion for mentoring juniors. The position offers a competitive salary and numerous benefits, including health insurance and professional development budgets.

Benefits

Competitive salary
Health insurance
38 days of holiday
Pension scheme
Annual health checks
Learning & development budget
Free gym membership
Office breakfast
Social events and games room

Qualifications

  • Proven experience as a Senior Data Engineer with real-time data systems.
  • Extensive experience with Python and open-source data libraries.
  • Good understanding of cloud-based warehouses like Snowflake.

Responsibilities

  • Architect and implement efficient data pipelines for internal stakeholders.
  • Drive technical decisions and contribute to the data ecosystem.
  • Lead the design of a scalable and maintainable Data Platform.

Skills

Senior Data Engineer experience
Python proficiency
SQL
AWS experience
Stakeholder management
Strong problem-solving skills

Tools

Snowflake
Kubernetes
Terraform
Postgresql
Job description
Job Description

City of London

Permanent, Full-time – Onsite

What you’ll be doing

The Senior Data Engineer role is a unique opportunity to help build a world-class trading platform. You’ll be responsible for delivering products for our internal customers, designing, implementing, and maintaining complex data pipelines and infrastructure that will give our traders a competitive edge. The Senior Data Engineer will be required to build relationships and collaborate with key stakeholders, responsibilities include:

  • Architect and implement efficient data pipelines that enable our Quants, ML, Analytics and Operation teams to quickly build solutions without having to spend considerable time wrangling with data.
  • Drive technical decisions, evaluate new technologies and tools, and contribute to the continuous improvement of our data ecosystem.
  • Lead the design and development of a scalable, modular, and maintainable Data Platform, using our key technologies, NATs, Snowflake, Prefect, running on Kubernetes in our AWS cloud environments.
  • Build our Data Platform and solve complex data problems to deliver insights helping to build our trading data platform.
  • Foster a culture of sharing, mentor junior engineers, provide guidance, and drive excellence.
  • Convert data engineering and architecture best practices in the Data and Engineering teams, building a data culture based on the highest quality and reliability standards.
You’ll have
  • Proven experience as a Senior Data Engineer, with a strong portfolio of building real-time data systems using modern approaches.
  • Extensive experience with Python including open-source data libraries and frameworks such as Panadas and messaging systems, along with proficiency in building out modern data warehouses.
  • Proficient with SQL.
  • Good understanding of cloud-based warehouses (e.g. Snowflake, BigQuery).
  • Experience with AWS, including S3, IAM, RDS, and Kubernetes and Terraform.
  • Extensive experience of working with Analytics teams that provide in-depth analytics reporting capabilities across the business.
Ideal Behaviours
  • Strong communication and stakeholder management.
  • Enthusiastic about helping juniors develop and grow.
  • Strong problem-solving skills and attention to detail.
  • The ability to thrive in this role which demands technical and data-driven results.
Desirable
  • Understanding of trading platforms / financial markets.
  • Experience with backend technologies (e.g. Go, C#).
  • Experience with Prefect to allow you to design, test and run your data pipelines with Python.
  • Knowledge of Postgresql.
  • Working with third-party data providers and ingesting real-time trading data feeds.
Benefits & perks
  • Competitive salary
  • Vitality health insurance and dental cover
  • 38 days of holiday (including bank holidays)
  • Pension scheme
  • Annual Bluecrest health checks
  • A personal learning & development budget of £5000
  • Free gym membership
  • Specsavers vouchers
  • Enhanced family leave
  • Cycle to Work scheme
  • Credited Deliveroo dinner account
  • Office massage therapy
  • Freshly served office breakfast twice a week
  • Fully stocked fridge and pantry
  • Social events and a games room

matters:

We believe in a workplace where our people can fulfil their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact.

Please let us know ahead of the interview and testing processes if you require any reasonable adjustments or assistance during the application process.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.

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