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- Tasks: Design, develop, and maintain data architectures and pipelines for our analytics platform.
- Company: Join Unite Students, a leader in reshaping how data drives success in the education sector.
- Benefits: Enjoy 25 days' holiday, a generous pension scheme, and health & wellbeing perks.
- Why this job: Be part of an innovative team modernising data solutions and driving impactful change.
- Qualifications: Experience in SQL, Python, Spark, and cloud services like AWS is essential.
- Other info: Opportunity to work in an Agile environment with a focus on continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
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We are seeking a skilled, motivated Data Engineer to join our dynamic and innovative team. As a Data Engineer in the Data & Insight Team, you will work as part of a team of data engineers to design, develop, test, and maintain data products and our data analytics platform.
This is a fantastic opportunity to join our team at a pivotal moment. As we upgrade our data platform to modernize our analytics and AI capabilities, you`ll play a crucial role in building the architecture and pipelines to deliver the data assets that will drive our future success. If you`re passionate about creating innovative and scalable data solutions and want to be part of a team that will help reshape how Unite Students leverages data, we want to hear from you.
What You`ll Be Doing
- Build, test, and maintain robust, scalable data architectures and pipelines that align with architectural standards and business objectives
- Collaborate with other data engineers to share knowledge and deliver solutions.
- Contribute to the culture of continuous improvement within the team and seek opportunities to automate processes
- Troubleshoot complex data issues and optimize existing systems for performance and reliability
- Implement data validation and quality checks and monitoring solutions to ensure data integrity and observability to meet data governance standards and requirements.
- Collaborate with cross-functional teams to help define requirements and ensure alignment with business needs
- Communicate complex technical concepts effectively to non-technical stakeholders
- Keep informed of new technologies and deliver proof-of-concept projects to drive innovation
- Contribute to Agile ceremonies and technical processes such as code reviews and Change Advisory Board meetings.
What We`re Looking for in You
- Experience of working as a Data Engineer
- Highly proficient in SQL, Python, and Spark (pyspark) for developing and testing data engineering pipelines and products to ingest and transform structured and semi-structured data.
- Understanding of data modelling techniques and data pipeline design patterns and behaviours
- Experience with pipeline management and orchestration tools such as Airflow
- Experience with low/no-code pipeline development tools such as Talend or SnapLogic.
- Experience developing data pipelines using cloud services (AWS preferred) like Lambda, S3, Redshift, Glue, Athena, Secrets Manager or equivalent services.
- Experience of working with APIs for data extraction and interacting with cloud resources via APIs/CLIs/SDKs (e.g., boto3).
- Experience building out a data warehouse on platforms such as Redshift, Snowflake, or Databricks.
- Comfortable working with Git for source control (in Azure DevOps repos or equivalent)
- Experience working in an Agile (Scrum) environment for product delivery using Azure DevOps or similar tools
- Strong problem-solving abilities with the capability to quickly analyze issues and locate performance bottlenecks in code and pipelines
- Excellent communication skills, including the ability to translate complex technical concepts for non-technical audiences and non-data experts.
Nice to Have
- AWS certification(s)
- Experience developing data pipelines with Databricks
- Experience building and deploying data models with dbt
- Infrastructure as Code experience (Terraform)
What You`ll Get in Return
- A discretionary annual bonus so you can share in the company`s success
- 25 days` paid holiday and an annual holiday buying scheme, with 5 additional days awarded for long service
- A generous pension scheme – employer contributions between 5% and 11% depending on how much you save
- Various benefits to support your health and wellbeing including a Healthcare Cash Plan, an Employee Assistance Programme, a Wellbeing platform, and a Gym benefit that you can share with your family and friends
- Enhanced Family Leave including 18 weeks full pay for birthing parents and 4 weeks for non-birthing parents
- Lots of other great benefits including an annual ShareSave scheme, Employee Life Assurance, a discounts portal, and more!
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Data Engineer employer: Unite Students
Contact Detail:
Unite Students Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, Spark, and AWS services. Having hands-on experience or projects showcasing these skills can significantly boost your chances.
✨Tip Number 2
Engage with our team on social media or professional platforms like LinkedIn. This not only shows your interest but also gives you insights into our company culture and current projects, which can be useful during interviews.
✨Tip Number 3
Prepare to discuss your problem-solving abilities and provide examples of how you've optimised data pipelines or resolved complex data issues in previous roles. This will demonstrate your practical experience and fit for the role.
✨Tip Number 4
Brush up on Agile methodologies and be ready to discuss your experience working in Agile environments. Understanding how to contribute to Agile ceremonies will show that you're a team player who can adapt to our workflow.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Engineer. Focus on your proficiency in SQL, Python, and Spark, and include specific examples of data pipelines you've developed or maintained.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention how your skills align with the company's goals, especially regarding modernising their data platform.
Showcase Technical Skills: In your application, emphasise your experience with pipeline management tools like Airflow and cloud services such as AWS. Provide examples of how you've used these technologies to solve complex data issues.
Prepare for Technical Questions: Be ready to discuss your problem-solving abilities and how you've optimised data systems in the past. Think of specific scenarios where you translated technical concepts for non-technical stakeholders, as this is crucial for the role.
How to prepare for a job interview at Unite Students
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Spark. Bring examples of data engineering pipelines you've developed, and be ready to explain the challenges you faced and how you overcame them.
✨Understand Data Modelling and Pipeline Design
Familiarise yourself with data modelling techniques and pipeline design patterns. Be ready to discuss how you've applied these concepts in previous roles, as this will demonstrate your understanding of the fundamentals.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. You may need to communicate with non-technical stakeholders, so being able to convey your ideas clearly is crucial.
✨Demonstrate Continuous Improvement Mindset
Share examples of how you've contributed to process improvements or automation in your past roles. This shows that you're proactive and committed to enhancing team efficiency and effectiveness.
