At a Glance
- Tasks: Implement cutting-edge software solutions for major businesses using Apache Airflow.
- Company: Join Astronomer, a leader in DataOps and AI-driven analytics.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic role with exposure to innovative technologies and customer interactions.
- Why this job: Make a real impact by solving complex data challenges for top enterprises.
- Qualifications: Strong Kubernetes skills and experience in programming and cloud-native architecture.
The predicted salary is between 60000 - 80000 £ per year.
Astronomer empowers data teams to bring mission‑critical software, analytics, and AI to life and is the company behind Astro, the industry‑leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data‑driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data.
About This Role
As a Field Engineer, SWAT, you will join our field team to deliver world‑class technical solutions to customer and prospect business problems. In this role, you will be exposed to a wide range of use cases where Apache Airflow sits at the center of the solution. The impacts you will make will enable customers to rapidly grow their businesses by adopting Astronomer products to meet their goals.
What You Get To Do
- Implement Astronomer’s software and services in the core of some of the world’s largest businesses and organizations.
- Guide our largest and most complex customers in their Apache Airflow journeys.
- Act as the core interface between the Customer, Sales, and Product to ensure that the broader solution around the platform is solving pain points and bringing value to customers.
What You Bring To The Role
- Strong Kubernetes experience (GKE/EKS/AKS or OpenShift preferred).
- Expertise in at least one programming language.
- Good understanding of network complexities and architectures.
- Versatile Terminal and CLI user; this will be a hands‑on role, frequently without access to a GUI.
- Experience setting up and troubleshooting distributed systems.
- Experience with complex SaaS infrastructure operating at scale.
- Experience with at least one major cloud provider API/tooling.
- Ability to read code.
- Work effectively with git.
- Cloud‑native data architecture experience.
- Strong customer facing skills.
- Strong oral and written communication skills – should be able to explain complex technical issues to non‑technical folks succinctly.
Bonus Points If You Have
- Prior experience using or administering Apache Airflow, Autosys, UC4, Temporal, Dagster, or Prefect.
- Proficiency in Python/Go.
- Enterprise data experience with or in regulated environments.
- Experience with scripting/automation specifically infra (Pulumi, Terraform, Ansible, etc.).
- 5+ years experience in a data engineering role or equivalent.
- 3+ years in a customer‑facing role.
- Experience with ElasticSearch/Prometheus/Vault.
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Field Engineer, SWAT employer: Astronomer
At Astronomer, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Field Engineer, SWAT, you will have the opportunity to work with cutting-edge technology in a supportive environment that encourages professional growth and development. Our commitment to diversity and inclusion, coupled with our focus on empowering employees to make impactful contributions, makes Astronomer a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Field Engineer, SWAT
✨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 Astronomer!
✨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 Field Engineer, SWAT at Astronomer.
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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 Astronomer.
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We think you need these skills to ace Field Engineer, SWAT
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 Astronomer, 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 Astronomer. 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 Astronomer
✨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 Astronomer!
✨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.
