bp on cord

bp

Senior Enterprise Technology Engineer

External position
London, UK
Hiring internally for bp?
Energy and Utilities · Sustainability
Reimagining energy for people and our planet
Posted
3 weeks ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Engineer
Experience level: Senior
Core skills considered: Python, SQL, AWS, Data Pipelines
Other skills considered: Data Modeling, CI/CD, Agile

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

We are looking for a Senior Enterprise Tech Engineer to establish and lead the Data Engineering squad within our global data team, supporting the Trading Analytics and Insights (TA&I) organisation within the Trading and Shipping (T&S) Entity.

You will play a pivotal role in building and leading a high-performing, global team of engineers responsible for designing and implementing robust, enterprise-scale data pipelines, while mentoring and coaching a team of 8-10 engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering roadmap, balancing the demands of safe and reliable daily operation with the need to continually explore and bring new capabilities - including Generative AI - to market.

This role requires expertise across: data engineering, platform engineering, software engineering, capability analysis and design and forensic problem diagnosis. You will be able to define and apply meticulous principles of automation, CI/CD and DevOps, and to lead a demanding front-office trading organisation in fully exploiting the potential of its data platform.


In This Role You Will

  • Strategic Leadership: Establish and lead a high-performing, global data engineering squad, fostering a collaborative, results-oriented environment and owning the technical direction for the team's deliverables.
  • Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow.
  • Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources (web APIs, databases, real-time streams).
  • Leverage Generative AI platforms and frameworks - agents, RAG, prompt and context engineering, evaluations and AI SDLC - to deliver novel capabilities for the trading organisation.
  • Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud cost optimisation and Total Cost of Ownership (TCO).
  • Coach and mentor a team of 8-10 data engineers, providing guidance on standard processes, technical development and career growth, and fostering a culture of knowledge sharing and continuous learning.
  • Lead and collaborate effectively within a global, cross-functional team, building strong relationships across borders and time zones.
  • Drive the adoption of Agile methodologies (Kanban/Scrum) and use Azure DevOps (ADO) to plan, track and manage team workload efficiently, refining operational and capability backlogs.
  • Create compelling data visualisations using advanced tools (e.g. Tableau, Power BI) to communicate insights to both technical and non-technical audiences.
  • Champion automation tools and standard processes to deliver reliable, repeatable results, ensuring all configuration is maintained under source control with automated CI/CD deployment and test.
  • Develop and maintain clear, concise technical documentation for data pipelines and procedures to ensure knowledge transfer and maintainability.
  • Embody the spirit of continuous improvement through agile sprint retros, RCAs and design review workshops; coaching junior team members and using data to drive where the team invests.

Essential Experience and Requirements

  • Bachelor/Master's degree or equivalent experience in Computer Science, Engineering, Information Systems or other numerate fields.
  • Demonstrated ability of 10 years as a Data Engineer with a proven track record of success in leading and mentoring teams.
  • Experience of building market data solutions within a trading or financial services environment.
  • In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch).
  • Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations.
  • Mastery of SQL (including advanced optimisation techniques) and experience with relational databases (PostgreSQL preferred), including data modelling and design skills.
  • Extensive experience designing and building large-scale, efficient data pipelines for complex and time series data.
  • Proven experience with Apache Airflow for data orchestration and scheduling at scale.
  • Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must.
  • Definition and design of the full SDLC (standards and tooling): development, test and deployment, using Git source control and ADO (or Jenkins) pipelines.
  • Experience working in a Linux environment and proficiency with Git version control.
  • Excellent written and verbal communication skills, with the ability to present complex technical concepts clearly to both technical and non-technical audiences.
  • Demonstrated experience working in a global environment and building strong relationships with teams across borders.
  • A passion for building high-performing teams and fostering a culture of innovation and continuous learning.
Senior Enterprise Technology Engineer at bp
Position posted 3 weeks ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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