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- Tasks: Lead the creation of a Data Engineering function at thymia, impacting mental health solutions.
- Company: Thymia is revolutionizing mental health with AI-powered assessments, backed by strong VC funding.
- Benefits: Enjoy a competitive salary, private health insurance, 28 days holiday, and flexible working options.
- Why this job: Join a passionate team making a real difference in mental health while shaping data strategies.
- Qualifications: Experience in Data Engineering, Python, Airflow, and Postgres; strong collaboration and problem-solving skills required.
- Other info: Work one day a week in our Moorgate office to connect with the team.
The predicted salary is between 64000 - 88000 £ per year.
About the job
£80k-£110k, 1 day a week in the office (Moorgate)
thymia is on a mission to make mental health as objectively measurable and monitorable as physical health. Using the latest advances in machine learning and neuropsychology we provide AI powered mental health assessments that identify mental illness and its underlying symptoms specifically, accurately and objectively.
thymia is on a growth path, backed by healthy VC funding and multi-million annual revenues. We are a dedicated team, passionate about making a positive impact in the mental health space.
The Role
At thymia we do not currently have a Data Engineering function and this is the first dedicated Data Engineering role at a startup that is scaling and maturing, with an opportunity to be extremely influential on how thymia does data. You will have a big impact on the business as we scale, supporting us by continuously improving on and maintaining a data setup that balances speed of innovation with extremely strong security and access controls to protect the very sensitive data that we hold.
We are interested in candidates with some experience behind them, who have already been there and done it when it comes to building out and delivering the overall Data setup, having played a significant role in creating and improving it, preferably in a startup environment.
Day to day you may work on Airflow DAGs, Postgres data migrations, shipping data from cloud provider to cloud provider, designing a Data Lake or Data Warehouse, or you might sit with someone who works in ML or Data Science and brainstorm options for a project we’re working on – and a whole lot more! This is a startup and flexibility and a broad interest in trying to help customers, help your colleagues, and help to grow the business is fundamental.
Key Skills & Background
- Extensive experience doing Data Engineering, in or around Machine Learning, using technologies including Python, Airflow, and Postgres in AWS
- Strong collaboration skills, you will work with diverse people in a diverse set of teams – Neuroscientists, Data Scientists, Machine Learning Researchers, Engineers, Product Managers – there are a lot of different opinions and perspectives to take on board
- Excellent problem-solving skills and attention to detail
- You are a great communicator, sharing feedback with others, taking feedback onboard yourself, and advocating for continuous improvement
Company Benefits
- Private pension
- Private health insurance
- 28 days holiday
- Flexi-working – we currently have one day a week where everyone is strongly encouraged to come in to spend the day together in person, at our office right next to Moorgate station
Interview Process
Our standard interview process follows the below format – we try to accommodate candidates’ needs and bulk steps together where possible.
- Initial phone interview with the CTO (30 minutes) – this covers background and overall alignment with thymia’s mission and role
- Technical Interview – coding (1 hour); phone or in person with engineering team members
- Technical Interview – Data Architecture (1 hour); phone or in person with engineering team members
- Non-technical Interview – get to know the team and CEO meetings (1 hour max to make sure that the candidate had the opportunity to meet all the relevant people); phone or in person
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Principal Data Engineer employer: Sequel
Contact Detail:
Sequel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Python, Airflow, and Postgres. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during the technical interviews.
✨Tip Number 2
Since collaboration is key in this role, think of examples from your past experiences where you successfully worked with diverse teams. Be ready to discuss how you navigated different opinions and perspectives, as this will demonstrate your strong collaboration skills.
✨Tip Number 3
Prepare for the problem-solving aspect of the role by practicing coding challenges and data architecture scenarios. This will help you feel more confident during the technical interviews and show that you have excellent problem-solving skills.
✨Tip Number 4
Research thymia's mission and values thoroughly. Being able to articulate how your personal values align with their mission to improve mental health will resonate well during the interviews, especially in the initial conversation with the CTO.
We think you need these skills to ace Principal Data Engineer
Some tips for your application 🫡
Understand the Company Mission: Before applying, take some time to understand thymia's mission to make mental health measurable. This will help you align your application with their goals and demonstrate your passion for the field.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in Data Engineering, particularly in startup environments. Mention specific technologies like Python, Airflow, and Postgres, and how you've used them in previous roles.
Showcase Collaboration Skills: Since the role involves working with diverse teams, include examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and ability to take and give feedback.
Tailor Your Application: Customize your application materials to reflect the key skills and background mentioned in the job description. Make sure to address how your problem-solving abilities and attention to detail make you a great fit for the role.
How to prepare for a job interview at Sequel
✨Understand thymia's Mission
Before your interview, make sure you understand thymia's mission to make mental health measurable. Familiarize yourself with their AI-powered assessments and how they impact mental health. This will help you align your answers with the company's goals.
✨Showcase Your Data Engineering Experience
Be prepared to discuss your previous experience in data engineering, especially in a startup environment. Highlight specific projects where you built or improved data setups, focusing on technologies like Python, Airflow, and Postgres.
✨Demonstrate Collaboration Skills
Since you'll be working with diverse teams, emphasize your collaboration skills. Share examples of how you've successfully worked with different stakeholders, such as data scientists or product managers, to achieve common goals.
✨Prepare for Technical Challenges
Expect technical interviews that may include coding challenges and data architecture discussions. Brush up on relevant concepts and be ready to solve problems on the spot, demonstrating your problem-solving skills and attention to detail.
