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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. To learn more, visit www.astronomer.io. 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 communications 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 #LI-Hybrid 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.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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