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- Tasks: Build and maintain a new data platform while supporting existing data products.
- Company: Best Buy Health enriches lives through technology and meaningful connections.
- Benefits: Enjoy competitive pay and support for physical and mental well-being.
- Why this job: Join a collaborative team focused on continuous improvement and knowledge sharing.
- Qualifications: Bachelor's degree in a related field and 2+ years of data engineering experience required.
- Other info: This role is remote eligible, allowing you to work from anywhere.
The predicted salary is between 36000 - 60000 £ per year.
As a Data Engineer, you will focus on analytics engineering, including data modeling and using dbt. You will help us build a new data platform and associated data products to meet new challenges as we grow as a business and gain increasing numbers of customers and use-cases. As well as helping support our services across our software platform and applications, you will also help support and evolve our existing data products and provide analytical support to external clients and Best Buy Health teams.
We would describe ourselves as self-organizing and collaborative with a continuous improvement mindset. We value knowledge sharing and making decisions as a team, regardless of role or level of seniority. We encourage collaboration via pair programming and holding regular knowledge share sessions. We seek to continuously improve as a team and we also look to support each other's growth.
This role is remote eligible, which means you would work virtually from home or another non-Best Buy Health location.
What you’ll do
- Build and maintain a new data platform and associated data products.
- Support and evolve existing data products.
- Provide analytical support to external clients and Best Buy Health teams.
- Collaborate with data scientists, product teams, and other consumers of data products.
- Implement solutions in a cloud computing and networking environment.
Technologies we use
- Querying and analytics: Python, SQL, dbt, Databricks, AWS Athena, AWS Glue
- Orchestration: Airflow
- Storage: PostgreSQL (RDS), Redshift, DynamoDB, AWS S3
- Monitoring: DataDog, CloudWatch
Basic qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 2+ years of experience in data or analytics engineering
Preferred qualifications
- Proficiency in data manipulation using SQL, Spark, pandas, or similar.
- Experience with dbt and data modeling.
- Deep knowledge of at least one modern programming language (eg, Python).
- Experience in real-time stream or batch processing.
- Designing and implementing systems with scale in mind.
- Writing code with a focus on testability.
- Confidence in reviewing and troubleshooting code.
- Eagerness to learn new languages and technologies as required.
What’s in it for you
We’re committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.
Our benefits include:
- Competitive pay
- Physical and mental well-being support
About us
Best Buy Health aims to enrich lives through technology and meaningful connections. We do that by focusing on consumer health products that help people live healthier lives, device-based emergency response services for the active aging population and virtual care offerings that help connect patients to physicians.
Application deadline: Minimum of 5 days from the posting date. You can find that date above the job title at the top of the page.
Position Type: Full timePandoLogic. Keywords: Data Engineer, Location: London, ENG – E1 6AN
Data Engineer 2 employer: Best Buy Health
Contact Detail:
Best Buy Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer 2
✨Tip Number 1
Familiarize yourself with the technologies mentioned in the job description, especially dbt, Python, and SQL. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during the interview process.
✨Tip Number 2
Highlight any collaborative projects you've worked on, especially those involving pair programming or knowledge sharing. This aligns with our self-organizing and collaborative culture, showing that you can thrive in a team environment.
✨Tip Number 3
Prepare to discuss how you've implemented solutions in cloud environments like AWS. Being able to articulate your experience with cloud computing and data storage solutions will demonstrate your readiness for the role.
✨Tip Number 4
Show your eagerness to learn new technologies by mentioning any recent courses or certifications you've completed. This reflects our value of continuous improvement and your commitment to personal growth.
We think you need these skills to ace Data Engineer 2
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Engineer position. Familiarize yourself with the technologies mentioned, such as Python, SQL, dbt, and AWS services.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering and analytics. Emphasize your proficiency in data manipulation, cloud computing, and any experience with real-time processing or batch processing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your alignment with the company's collaborative culture. Mention specific projects or experiences that demonstrate your skills and eagerness to learn.
Highlight Team Collaboration: In your application, emphasize your experience working in self-organizing teams and your ability to share knowledge. Provide examples of how you've collaborated with others to achieve common goals.
How to prepare for a job interview at Best Buy Health
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the technologies mentioned in the job description, such as Python, SQL, and dbt. Highlight specific projects where you've implemented data modeling or built data platforms.
✨Emphasize Collaboration
Since the company values collaboration and knowledge sharing, share examples of how you've worked in teams, participated in pair programming, or contributed to knowledge-sharing sessions in your previous roles.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in data engineering and how you approached solving them. This could include troubleshooting code or designing scalable systems, which are key aspects of the role.
✨Express Your Eagerness to Learn
The company is looking for someone who is eager to learn new languages and technologies. Be ready to talk about any recent skills you've acquired or technologies you're interested in exploring further.
