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For Companies At a Glance
- Tasks: Design and manage data systems, ensuring quality and privacy while simplifying complex data for users.
- Company: Renaissance is a global leader in education technology, supporting over 18 million students worldwide.
- Benefits: Enjoy competitive salary, flexible hours, generous leave, and wellness perks like maternity support and discounts.
- Why this job: Join a collaborative team making a positive impact on education through data insights and innovative solutions.
- Qualifications: Experience with cloud platforms, SQL, Python or R, and strong communication skills are essential.
- Other info: Part-time options available; we value diversity and encourage applications from all backgrounds.
The predicted salary is between 28000 - 42000 £ per year.
Renaissance is a global leader in education technology. We help schools and school groups in the UK and around the world with educational assessments, practice and intervention solutions, and data analytics. Renaissance now incorporates GL Assessment (known internationally as GL Education), a leading provider of educational assessments. Together, our assessments offer the ideal starting point to help teachers understand their students’ strengths and pinpoint areas of need. Our teaching and learning tools then provide effective next steps, with online literacy and maths solutions that meet students exactly where they are. Worldwide, we support over 18 million students, operating in over 100 countries.
About This Role
Renaissance Global is recruiting a Mid-Level Data Engineer to join our growing team. As part of the Data Engineering team, you will be responsible for designing and managing our data systems, ensuring alignment with strategy and surfacing meaningful data insights. Your primary focus will be on data format, quality, privacy, sovereignty, and defining data standards for other teams to follow. You will also simplify complex technical information into dashboards, visualizations, reports, and querying tools for non-technical users. Working within a platform team, you will collaborate closely with technology colleagues and the wider business, including data scientists, statisticians, cloud engineers, developers, architects, analysts, product owners, and leadership.
Data Engineer Job Responsibilities
- Identify and implement improvements around scalability, data delivery, and automation.
- Develop data guidelines and standards, supporting other teams in their adoption.
- Develop, deploy, and maintain BI tools, dashboards, and visuals to provide insights and facilitate data exploration.
- Simplify technical language and complex data issues, providing quantifiable solutions.
- Write and maintain queries and scripts for data extraction, transformation, and loading; conduct testing and validation.
- Create technical documentation on database content and mapping.
- Design and analyze data architecture and models to support efficient processing.
- Ensure optimal performance of data systems and platforms.
- Knowledge or experience with CI/CD pipelines.
- Collaborate with stakeholders to identify KPIs and data sources.
Skills and Experience Required
- Experience with cloud platforms such as Azure or AWS is essential.
- Strong communication and collaboration skills.
- Experience working with complex data.
- Logical problem-solving approach.
- Understanding of data modeling, pipelines, and ETL processes.
- Knowledge of data structures, database querying, and tuning.
- Proficiency in SQL and programming languages like Python or R.
- Experience with Microsoft Azure data services.
- Experience within a DevOps culture.
- Ability to engage with senior colleagues and champion positive change.
- Effective time and priority management.
- Motivation to positively impact teachers and students worldwide.
Additional Information
We offer a competitive salary of £32,000-£37,000 per annum, depending on experience, plus numerous benefits. Part-time options are available.
Benefits
- Pension & Insurance: Salary sacrifice pension scheme with 8% employer contribution, life and income protection insurance.
- Holiday & Leave: 22 days annual leave, 3 Christmas shutdown days, birthday leave, and up to 5 paid volunteering days annually.
- Perks: Discounts at retailers, leisure, restaurants via Reward Gateway; Renaissance Rewards points; tech purchase options.
- Wellbeing & Health: Maternity/paternity/adoption leave, employee assistance program, Family Support Services via Help@Hand app.
- UK Office Benefits: Season ticket loan, cycle-to-work scheme, weekly fruit baskets.
We are committed to diversity, equity, and inclusion, striving to create a welcoming workplace. We encourage applications from all underrepresented groups. If you require adjustments or accommodations, please contact us. All information is confidential and GDPR compliant. Only candidates with existing full work permits will be considered. This role is subject to DBS and background checks.
Data Engineer employer: Renaissance Learning
Contact Detail:
Renaissance Learning Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, particularly Azure and AWS. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Brush up on your SQL and programming skills, especially in Python or R. Be prepared to demonstrate your ability to write queries and scripts, as this is a key part of the role.
✨Tip Number 3
Showcase your understanding of data modelling, ETL processes, and CI/CD pipelines. Being able to discuss how you've implemented these in past roles will highlight your practical experience.
✨Tip Number 4
Prepare to discuss your collaboration skills and how you've worked with cross-functional teams in the past. This role requires strong communication, so examples of successful teamwork will be beneficial.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position at Renaissance. Familiarise yourself with their focus on data quality, privacy, and the tools they use.
Tailor Your CV: Highlight your experience with cloud platforms like Azure or AWS, and emphasise your skills in SQL, Python, or R. Make sure to include any relevant projects that demonstrate your ability to work with complex data and BI tools.
Craft a Compelling Cover Letter: In your cover letter, express your motivation to positively impact education through data engineering. Mention specific examples of how you've simplified complex data issues or improved data systems in previous roles.
Showcase Collaboration Skills: Since the role involves working closely with various teams, provide examples in your application that demonstrate your strong communication and collaboration skills. Highlight any experience you have in a DevOps culture or working with stakeholders.
How to prepare for a job interview at Renaissance Learning
✨Showcase Your Technical Skills
Make sure to highlight your experience with cloud platforms like Azure or AWS, as well as your proficiency in SQL and programming languages such as Python or R. Be prepared to discuss specific projects where you've implemented data solutions.
✨Communicate Clearly
Since the role involves simplifying complex data issues for non-technical users, practice explaining technical concepts in layman's terms. This will demonstrate your strong communication skills and ability to collaborate effectively with diverse teams.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've approached logical problem-solving in past roles. Discuss any challenges you faced with data systems and how you overcame them, particularly in relation to scalability and automation.
✨Understand the Company’s Mission
Familiarise yourself with Renaissance's mission to positively impact teachers and students worldwide. Be ready to express how your values align with theirs and how you can contribute to their goals through your work as a Data Engineer.
