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- Aufgaben: Join our team to develop a Data Platform and improve data reliability and quality.
- Arbeitgeber: Safety io revolutionizes cloud-based solutions for workforce monitoring and safety products globally.
- Mitarbeitervorteile: Enjoy flexible hours, 30 vacation days, and a hybrid work model with great perks.
- Warum dieser Job: Make a real impact by working on projects that save lives in a diverse, agile environment.
- Gewünschte Qualifikationen: Experience with SQL and Python; familiarity with Snowflake and dbt is a plus.
- Andere Informationen: Work in a modern office with a supportive team and opportunities for professional growth.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Overview
Who we are:
Safety io revolutionizes cloud-based/IoT solutions for the live monitoring of workforces in hazardous areas; fleet management for market and industry-leading MSA safety products; on-scene monitoring for the global fire service; and many other compelling products and services. Our suite of applications are used and loved by thousands and our code saves lives!
We are an international company parented by MSA with offices in Berlin, Germany; Johannesburg, South Africa; and Cranberry, USA. Our Berlin team spreads over 20 nationalities!
What we are looking for:
We are looking for an experienced Data Engineer to join our team. You will use various methods to ingest raw data and provide transformed data objects optimized for data analytics, data science, and business purposes. You should have strong analytical skills and the ability to combine data from different sources. You will be joining a young, diverse team in Berlin working in an agile environment.
Responsibilities
- Collaboratively develop a Data Platform using Snowflake and dbt
- Identify ways to improve data reliability, efficiency, and quality
- Excellent analytic skills associated with working on structured and unstructured datasets
- Prepare data for modeling
- Conduct research and collaborate with business owners as part of solution design
- Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
- Work as a part of an agile team in collaboration with a larger data organization with a goal of successful project delivery
- Participate in design and code reviews and provide appropriate recommendations
- Maintain high standards of software quality within the team by establishing and maintaining good practices and habits
- Work with the security and operations team to make sure processes and products are stable and secure
- Work with the data governance lead to design, implement, and manage a company data governance strategy
Qualifications
Experience in managing large-scale data platform infrastructure, including:
- Operations
- Governance
- Observability
- Orchestration
Required skills:
- SQL
- Python
Nice to have but not required:
- Snowflake
- dbt
- AWS
- Airflow
Soft skills:
- Proven decision-making abilities
- The drive to challenge and change the status quo
- Internally motivated, able to work proficiently both independently and in a team environment
- Strong communication skills with both internal team members and external business stakeholders
What we offer
- A competitive salary
- A modern office with flexible working hours and a hybrid work model that allows you to work at least 2 days every week from home
- Great work / life balance with overtime being given back!
- 30 days of vacation
- A start-up like environment with the backing and security of a market leader over 100 years old
- Meaningful projects that make a difference – at Safety io, your work will save lives!
- Onboarding process for new hires
- Free BVG Travel Pass or \“Jobrad\“ bicycle
- Gym pass
- A budget to attend conferences and provide learning tools
- Contributions to language courses (e.g., German & English)
- Modern office spaces with discounted amenities nearby
- Free coffee, tea, soft drinks, fruit, and monthly team breakfast
- Regular team and company events
#J-18808-Ljbffr
Data Engineer Arbeitgeber: MSA – The Safety Company
Kontaktperson:
MSA – The Safety Company HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer
✨Tip Number 1
Familiarize yourself with Snowflake and dbt, as these are key technologies for the Data Engineer role. Consider taking online courses or tutorials to get hands-on experience, which will help you stand out during the interview process.
✨Tip Number 2
Showcase your analytical skills by preparing examples of how you've successfully worked with both structured and unstructured datasets in the past. Be ready to discuss specific challenges you faced and how you overcame them.
✨Tip Number 3
Highlight your experience in agile environments. Be prepared to share how you've collaborated with cross-functional teams and contributed to successful project deliveries, as this aligns with the company's working style.
✨Tip Number 4
Emphasize your soft skills, particularly your decision-making abilities and communication skills. Prepare examples that demonstrate how you've effectively communicated with both technical and non-technical stakeholders in previous roles.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer
Tipps für deine Bewerbung 🫡
Understand the Company: Familiarize yourself with Safety io and their mission. Highlight your understanding of their cloud-based/IoT solutions and how they impact safety in hazardous areas.
Tailor Your CV: Make sure your CV reflects your experience with data platforms, SQL, and Python. Emphasize any relevant projects or roles that demonstrate your analytical skills and ability to work with structured and unstructured datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the responsibilities outlined in the job description. Mention your experience with agile teams and your motivation to contribute to meaningful projects.
Highlight Soft Skills: Don't forget to showcase your soft skills in your application. Discuss your decision-making abilities, communication skills, and how you thrive both independently and in a team environment.
Wie du dich auf ein Vorstellungsgespräch bei MSA – The Safety Company vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Highlight specific projects where you've managed large-scale data platforms or worked with tools like Snowflake and dbt, even if they are not required.
✨Demonstrate Analytical Thinking
Since the role requires strong analytical skills, come ready to share examples of how you've combined data from different sources to solve complex problems. This will show your ability to handle both structured and unstructured datasets.
✨Emphasize Collaboration
As you'll be working in an agile team, emphasize your experience in collaborative environments. Share examples of how you've participated in design and code reviews, and how you’ve worked with business owners to design solutions.
✨Communicate Soft Skills
Strong communication skills are essential for this role. Be ready to discuss how you've effectively communicated with both internal teams and external stakeholders, and provide examples of your decision-making abilities in challenging situations.
