At a Glance
- Tasks: Design and maintain data pipelines, ensuring quality and reliability of data.
- Company: Join Edenred, a global leader in innovative prepaid solutions.
- Benefits: Enjoy 25 days leave, hybrid work, and a competitive salary with bonuses.
- Other info: Diverse workplace with excellent career growth and social events.
- Why this job: Make a real impact in a dynamic environment while developing your skills.
- Qualifications: Experience in Databricks, Python, SQL, and a passion for learning new tech.
The predicted salary is between 65000 - 65000 £ per year.
Dê um passo à frente e deixe a Edenred surpreender você. Todos os dias, fornecemos soluções inovadoras para melhorar a vida de milhões de pessoas, conectando funcionários, empresas e comerciantes em todo o mundo. Sabemos que há centenas de maneiras de você crescer. Conosco, você expandirá suas habilidades em um ambiente multicultural, desafiador e dinâmico.
Atreva-se a se juntar à Edenred e prepare-se para prosperar em uma empresa global que lhe oferecerá infinitas oportunidades. A Edenred tem tudo a ver com meritocracia. Você vem como você é e contribui. De fato, o Grupo Edenred reconhece, recruta e desenvolve todos os talentos e singularidades. Temos o compromisso de evitar todas as formas de discriminação e de oferecer a todos os nossos candidatos oportunidades iguais, independentemente de seu gênero e expressão de gênero, deficiência, origem, crença religiosa e orientação sexual ou qualquer outro critério.
Salary: Up to £65,000 per annum + Bonus
Location: Swindon/London – Hybrid
As a Data Engineer, your primary responsibility is to design, develop, and maintain data pipelines and infrastructure on our platform. You will work with various data sources, load and transform data into appropriate formats, and ensure data quality and reliability. Additionally, you will collaborate cross-functionally to understand data requirements and implement scalable solutions for data processing, storage, and analysis.
What you will be doing:
- Design, develop and maintain data pipelines and infrastructure on AWS.
- Produce reports required for regulatory compliance.
- Collaborate with business analysts to refine user requirements and provide estimates.
- Proactively suggest ideas to improve the data platform and ways of working.
- Troubleshoot production issues.
- Unit Testing.
- Documentation.
What you will bring:
Essential Criteria:
- Proven track record of development in Databricks
- Proven track record of working with IaC
- Proven track record of working with git
- Strong working knowledge of Python (Pyspark) and SQL
- Strong working knowledge of data management inside a datalake
- Proven ability to explain technical issues and solutions to peers and customers
- Proven ability to independently progress and complete tasks
- Strong desire to learn new skills and adapt new technologies
Desirable Criteria:
- Experience with AWS
- Experience with CI/CD
- Experience with Terraform
- Experience with ML and AI features in Databricks
- Experience working in an Agile Scrum framework
- Experience working in the financial services sector
What you will get:
- 25 days annual leave plus Bank Holidays
- Hybrid working environment (min. 3 days per week in the office)
- Pension Scheme – employer 6% with minimum employee contribution 3%
- Discretionary bonus scheme based on company and personal performance
- Medical & international travel cover (leisure and action sports)
- Life insurance (4x salary)
- Wellbeing Employee Assistance Program (extended access to family members)
- Holiday trading scheme
- Season ticket loan
- Cycle to Work scheme
- Employee discount shopping platform
- Employee referral bonus scheme
- Digital learning platform
- Complimentary fruit and other ‘in office’ snacks & refreshments
- Volunteering programme
- Social events
Diversity: Edenred PayTech are proud to be an equal opportunity employer. We will not discriminate against any applicant or employee based on age, race, colour, creed, religion, sex, sexual orientation, gender, gender identity or expression, national origin, citizenship, marital status or civil partnership/union status, disability, pregnancy, genetic information, or any other basis prohibited by applicable country or local laws.
Apply now and Vibe with Us!
Data Engineer in Swindon employer: Ticket
Edenred PayTech is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a strong focus on employee growth, we offer comprehensive training and development opportunities tailored to enhance your skills in automation and leadership. Located in the vibrant areas of Swindon and London, our hybrid work model provides the perfect balance between professional engagement and personal flexibility, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Swindon
✨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 Ticket!
✨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 Data Engineer at Ticket.
✨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 Ticket.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Ticket, 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 Data Engineer in Swindon
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 Ticket, 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 Ticket. 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 Ticket
✨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 Ticket!
✨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.
