(Senior) Data Engineer (Backend + APIs) (all genders welcome)

Description

Job Overview

• Role: (Senior) Data Engineer (Backend + APIs) (all genders welcome)
• Company: ai-omatic solutions GmbH
• Location: Hamburg
• Employment Type: professional / experienced
• Category / Department: IT
• Salary: Competitive / Not Disclosed — confirm during interview
• Key Skills / Technologies: IT
• Listing Source: Arbeitnow

Job Description

aiomatic builds a digital maintenance assistant that reduces unplanned downtime through predictive maintenance. It continuously analyzes machine data, detects anomalies early, and notifies teams with clear, actionable context.
As part of the Application Engineering team, you’ll take ownership of our data storage and warehouse foundations (schemas, performance, reliability, and access patterns), while also shipping production-grade backend services and RESTful APIs that power our customer application and anomaly review workflows.

Location: Hamburg (hybrid). You must be based within commutable distance to Hamburg, as one weekly on-site day is part of the role.

Tasks

• Data Storage Ownership: Own the foundations of our data storage layer, including schema design, migrations, performance tuning, and reliability.
• Data Modeling: Design clear, scalable schemas and data marts for analytics and product use cases.
• Backend Services: Develop backend services that expose storage-backed capabilities to the product.
• RESTful APIs: Design, implement, and maintain APIs with strong contracts, versioning, and observability.
• Quality & Operations: Improve test coverage, performance, and reliability through monitoring and thoughtful alerting.
• Collaboration: Work closely with product and engineering to translate requirements into robust data and API solutions.

Requirements

• Experience: 5+ years of professional software development experience, with substantial time in data engineering.
• Core Expertise: Strong expertise in Python and SQL.
• Data Storage: Hands-on experience owning a database or warehouse, including schema design, performance, reliability, and access patterns.
• Warehouse: Experience with analytics-oriented storage and modeling (e.g., data marts) and a pragmatic approach to cost and performance.
• Backend: Experience building backend services in Python.
• Database Layer: Hands-on experience with ORM tools, especially SQLAlchemy.
• APIs: Strong experience designing and implementing RESTful APIs.
• Fundamentals: Solid understanding of software engineering best practices, testing, and production operations.

Benefits

• A job with meaning: Our mission is to make maintenance more sustainable and efficient. Your work helps tackle real-world challenges in today’s industry.
• A team with a heart: We’re a close-knit team—human, authentic, and open. We support each other and stick together.
• Real flexibility: Morning yoga or a midday workout? With flexible working hours, you can easily balance work and personal life.
• Perfect location: Our office is right in the heart of Hamburg, next to the City Hall—central and easy to reach.
• Workations: Want to work from somewhere else for a while? You can enjoy up to 4 weeks per year of “work from everywhere.”
• Team events: Whether it’s cooking together, outdoor adventures, or after-work meetups—we regularly strengthen our team spirit through events.
• Free drinks: Oat milk coffee, Fritz-Kola, or an after-work beer—our fridge is always well stocked, and drinks are on us.
• Best hardware: From day one, you’ll get high-quality hardware that fits your needs—you choose what works best for your daily work.

Find more English Speaking Jobs in Germany on Arbeitnow

Salary & Compensation

The salary for this position has not been publicly disclosed. Compensation is typically determined based on your experience, skills, and interview performance. Use your research on industry benchmarks and the cost of living in the role's location to negotiate effectively.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

• Annual or performance-based bonuses
• Health, dental, and vision insurance
• Provident Fund (PF) and Gratuity contributions (India)
• Paid Time Off (PTO), sick leave, and public holidays
• Professional development budget and learning allowances
• Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
• Flexible or remote working allowances
• Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: On-Site / Full-Time

This is an on-site, full-time position. You will be expected to report to the office or designated work location during standard business hours, Monday through Friday. Some companies offer flexible start and end times or occasional work-from-home days at the manager's discretion. The company fosters a collaborative environment with open workspaces, dedicated meeting rooms, and structured team events.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

1. Resume and application screening
2. Introductory phone or video call with HR
3. Role-specific skill or competency interview
4. Final interview with the hiring manager or panel
5. Reference checks and offer discussion

Tip: Research the company's products, culture, and recent news thoroughly before each interview round.

About the Employer

ai-omatic solutions GmbH is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

• Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
• Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
• Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
• Location and offices: The role is based in or around Hamburg. Confirm office address, remote policy details, and travel requirements during the process.
• Where this listing was found: This job was sourced from Arbeitnow.

How to Apply & Preparation Tips

To apply for the (Senior) Data Engineer (Backend + APIs) (all genders welcome) position, follow these steps:

1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
4. Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Key skills relevant to this role include: IT. Ensure these are prominently featured on your resume and LinkedIn profile.

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.