Senior Data Engineer - eFinancialCareers

ZipRecruiter; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

An innovative energy trading company in London is seeking a Senior Data Engineer to architect and implement data pipelines that give traders a competitive edge. The ideal candidate has proven experience building real-time data systems, strong skills in Python, SQL, and a good understanding of cloud technologies such as AWS. This is a full-time, onsite role offering a competitive salary and various benefits including health insurance, generous holiday allowance, and a personal development budget.

Benefits

Competitive salary

Vitality health insurance

38 days of holiday

Pension scheme

Annual health checks

Personal development budget

Free gym membership

Office breakfast twice a week

Social events

Fully stocked pantry

Qualifications

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

Responsibilities

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

Skills

Data engineering

Python

SQL

Cloud-based warehouses

Kubernetes

AWS services

Stakeholder management

Tools

Snowflake

Postgresql

Terraform

Job description

Job Description

City of London

Permanent, Full-time – Onsite

Who we are:

We are an energy trading company generating liquidity across global commodities markets.We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge.

At Dare, you will be joining a team of ambitious individuals who challenge themselves and each other. We have a culture of empowering exceptional people to become the best version of themselves.

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.