At a Glance
- Tasks: Design and maintain data pipelines for financial and ESG data using cutting-edge tools.
- Company: Join SLR, a global leader in Sustainability Solutions with a collaborative culture.
- Benefits: Enjoy a competitive salary, professional development, and a supportive work environment.
- Other info: Inclusive workplace welcoming diverse backgrounds and offering excellent career growth.
- Why this job: Make a real impact on sustainability while working with innovative technologies.
- Qualifications: Degree in a relevant field and experience in data pipeline development required.
The predicted salary is between 63000 - 77000 £ per year.
This role will focus on enhancing and maintaining data pipelines to process financial and ESG data.
What this role will do:
- Design, build, and maintain robust data pipelines using tools like Snowflake, Dagster, and SQL to process financial, climate, and ESG datasets at scale. Ensure pipelines are efficient, reliable, and capable of handling terabytes of data.
- Collaborate with Climate Risk modeling team to integrate advanced economic models into production environments. Leverage automation tools like GitHub to streamline deployment and ensure rapid iteration.
- Uphold high technical standards by implementing best practices in coding, testing, and documentation. Regularly review and improve the existing codebase to incorporate innovation and new learnings.
- Work within an agile framework to prioritize tasks, manage time effectively, and align with team goals. Act as a proactive contributor to cross-functional collaboration with data scientists, analysts, and other stakeholders.
Skills required:
- Degree in computer science, engineering, mathematics, quantitative methods or related field.
- Substantial experience in developing and maintaining production-level data pipelines.
- Strong command of Python, with a focus on writing clean, efficient, and production-ready code.
- Strong SQL expertise, with experience of relational databases such as PostgreSQL or Snowflake.
- Substantial experience with core AWS products such as EC2, ECS, Lambda and RDS.
- Familiarity with data orchestration technologies such as Dagster, or a strong desire to learn.
- Familiarity with DBT or similar tools for data transformation, or a strong desire to learn.
- Passion for automation, with experience in containerisation (e.g. Docker), shell scripting, and continuous integration/continuous deployment (CI/CD) pipelines.
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, peer code reviews, version control, build processes, testing, and deployment.
- Excellent written and verbal communication skills.
Commitment to create positive environmental value for our clients across sectors, helping them shape the future of their sustainability transition.
About us: SLR are global leaders in Sustainability Solutions, helping our clients achieve their sustainability goals. We are a consultancy with 4500+ employees across 6 regions in over 125 countries. Our ‘one team’ culture is at the heart of our business, providing a collaborative and supportive environment for professional development.
Culture & Inclusion at SLR: We are committed to being an equal opportunities employer, and our expectations go beyond purely complying with legislation. Through our Regional C&I Committees, Global Council and Employee Networks, we foster an inclusive environment where all people regardless of their background can thrive. We welcome applications from all individuals, regardless of their background, including those from groups that are currently under-represented at SLR, such as people identifying as 2SLGBTQI+, Indigenous peoples, ethnic minority groups, women, and people with visible or invisible disabilities, including those who are neurodivergent.
Summary: Location: London, UK Type: Full time
Data Engineering in London employer: RCS Global Group
SLR is an exceptional employer, offering a collaborative and people-first culture that prioritises professional development and work-life balance. With a strong focus on sustainability, employees benefit from a structured career framework, flexible working arrangements, and comprehensive support for personal well-being, making it an ideal place for those looking to grow their careers in transport engineering while contributing to meaningful projects across the UK and Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RCS Global Group.
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We think you need these skills to ace Data Engineering in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at RCS Global Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RCS Global Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RCS Global Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RCS Global Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
