At a Glance
- Tasks: Build and maintain innovative data pipelines for a greener future.
- Company: Join the world's largest independent renewable energy company.
- Benefits: Enjoy competitive pay, health perks, and opportunities for personal growth.
- Other info: Diverse and inclusive workplace with a focus on collaboration and innovation.
- Why this job: Make a real impact in renewable energy while advancing your career.
- Qualifications: Experience in data engineering and leadership skills required.
The predicted salary is between 50000 - 70000 £ per year.
Company Overview
Do you want to work to make Power for Good? We’re the world’s largest independent renewable energy company. We’re guided by a simple yet powerful vision: to create a future where everyone has access to affordable, zero-carbon energy. We know that achieving our ambitions would be impossible without our people. Because we’re tackling some of the world’s toughest problems, we need the very best people to help us. They’re our most important asset, so that’s why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they’re at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers a wide range of benefits and rewards.
Job Summary
The Senior Data Engineer role is a unique opportunity to help build a world-class global data platform. You’ll be responsible for delivering products for our internal customers, designing, implementing, and maintaining complex data pipelines and infrastructure that will give RES a competitive edge. The Senior Data Engineer will be required to build relationships and collaborate with key stakeholders.
Accountabilities
- Architect, build, implement, and operate reliable, secure, and observable data pipelines and curated datasets that power enterprise reporting, analytics, and AI/ML use cases.
- Take ownership of engineering quality, automation, and performance across the data platform, partnering with architecture, governance, modelling and reporting teams to deliver end-to-end data products.
- Lead and directly line manage the data engineering team, driving a high-performing culture, accountability, innovation, and the latest technology for automation, cost efficiency and innovation.
- Implement robust engineering standards and lead delivery of and oversee curated datasets with strong data quality controls and monitoring.
- Drive observability and optimise performance and cost.
- Lead work across IT leadership, business domains and source system owners and integration teams to onboard new sources and validate extracts.
- Lead incident response strategy and implementation and continuous improvement for BAU operations; drive root-cause remediation.
- Drive technical decisions, evaluate new technologies and tools, and contribute to the continuous improvement of our data ecosystem.
- 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.
- Lead AI/ML use cases by producing feature-ready datasets and supporting data scientists with efficient data access patterns.
Skills
- Leadership (this is a senior role where your leadership and mentorship skills are important to the success of the wider team).
- Advanced skills in Microsoft stack including Azure, Fabric, Synapse, Purview and PowerBI.
- Expertise in data engineering tools and technologies including SQL, Python and others.
- Strong problem-solving skills, operational mindset and ability to mentor, lead, train, and QA engineers.
- Innovation in the latest technologies for best practice engineering, including data and AI/ML.
- Strong, clear communication and stakeholder management and reporting of risk, change and impact.
- Enthusiastic about helping juniors develop and grow.
- The ability to thrive in this role which demands technical and data-driven results.
- Skilled in data engineering for AI/ML initiatives.
Qualifications and Experience
- Degree in a relevant field directly related to data.
- Significant experience delivering enterprise-grade data engineering solutions in production environments and leading teams to deliver high-performance outcomes.
- Proven experience as a Senior Data Engineer, with a strong portfolio of building real-time data systems and teams using modern approaches.
- Extensive experience of working with Data and Analytics teams that provide in-depth analytics reporting capabilities across the business.
- Previous experience leading a small engineering team is essential, as is hands-on current technical engineering experience.
- Extensive experience with Python including open-source data libraries and frameworks and messaging systems, along with proficiency in building out modern data warehouses.
- Azure mastery: Deep expertise in the Azure Ecosystem, specifically Azure Data Factory (ADF), Synapse, Unity Catalogue, Fabric, Purview: data lakes/lakehouse, data quality and testing frameworks and automation.
- Leading and maintaining security and privacy by design: access controls, handling of PII, auditability.
- Working knowledge of AI and machine learning data requirements.
- Demonstrated ability to lead and improve reliability, cost, performance and maintainability of data platforms.
- Building quality global datasets for BI and analytics consumption from many ingestion sources and leading/coaching and setting guardrails for regional data/analytics engineers and advising on projects.
- It is mandatory that you have proven experience in IFS (RES’s enterprise ERP system) and extensive experience in financial and human resources data and engineering in a global context.
- Working with third-party data providers and ingesting real-time data feeds.
At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
Senior Data Engineer in Truro employer: RES
At RES, we are committed to fostering a dynamic and inclusive work environment where every employee can thrive. As a Senior Data Engineer, you will not only contribute to innovative renewable energy solutions but also benefit from our strong focus on personal and professional development, competitive rewards, and a collaborative culture that values diverse perspectives. Join us in making a meaningful impact while enjoying the unique advantages of working in a global leader in sustainable energy.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Truro
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like RES!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at RES.
✨Leverage Professional Networks
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 RES.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at RES, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer in Truro
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 RES, 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 RES. 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 RES
✨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!
✨Showcase Your Projects
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 RES!
✨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.
