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Data Engineer

Jobs in Chemnitz - CHEMNITZ ZIEHT AN

Chemnitz

Hybrid

EUR 55.000 - 75.000

Vollzeit

Vor 18 Tagen

Zusammenfassung

A dynamic company located in Chemnitz is seeking a Data Engineer to drive product innovation and data solutions. The role involves creating scalable data systems, enhancing user experiences, and working in an agile environment. This position offers competitive compensation, growth opportunities, and a strong focus on employee wellbeing, including flexibility in work arrangements.

Leistungen

Competitive Salary Packages
Flexible Working Time Models
Yearly Training Budget
31 Vacation Days Annually
Monthly Wellbeing Allowance
Company Pension Scheme
Team Building Events
Volunteer Day Off
Employee Referral Program

Qualifikationen

  • Experience working as a Data Engineer in a product team.
  • Experience designing, building and operating data pipelines/ETL.
  • Fluent in English, both written and spoken.

Aufgaben

  • Design, build, and maintain reliable data pipelines.
  • Take ownership of large-scale architectural decisions.
  • Facilitate batch and real-time data processing workflows.

Kenntnisse

SQL
Python
Data Orchestration
Cloud-based Architectures
Communication

Tools

Docker
Kubernetes
MongoDB

Jobbeschreibung

About Staffbase

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication.

About Staffbase

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication. Our award-winning communications channels - intranet, employee app and email - deliver experiences that drive engagement and inspire hearts and minds.

We’re headquartered in Chemnitz, Germany, with offices in many locations throughout the world, including New York, London, Berlin and Dresden. Our international team counts more than 750 employees from 45+ nationalities and we have a growing base of 2200+ customers that want to transform their employee experience. We are rapidly scaling, post-Series E ($115 million funding), have strong-growing revenue, and our customers love us.

As a Data Engineer, you will play a pivotal role in shaping the technical direction of our products. Your solutions will transform Staffbase customers into strategic storytellers and help measure impact of their communications. You will drive the development of scalable, robust systems that redefine customer’s experiences.

Our environment

  • Working with skilled and similar-minded professionals in a team that values diversity and inclusivity
  • We aim to create a flexible and agile work environment that promotes the well-being and work-life balance of our employees
  • We believe that team events during working hours play a vital role in building an exceptionally effective team, and we encourage them
  • We are enthusiastic about technology and committed to using it to improve the world
  • We follow the "You build it, you run it" approach and take pride in it

What You’ll Be Doing

  • Design, build and maintain reliable data pipelines to power new capabilities for our customers
  • Take ownership of large-scale architectural decisions for processing, anonymizing and storing our massive amounts of data
  • Facilitate batch and real-time data processing workflows to fuel data-driven functionality in our product
  • Leverage the capabilities of data orchestration tools to create accurate, performant and resilient datasets
  • Proactively identify opportunities for scalability, observability and reliability improvements
  • Advise on data engineering approaches that balance outcomes, performance and GDPR compliance

What You Need To Be Successful

  • You already gained experience working as a Data Engineer, preferably in a product team. This experience is reflected in your tech skill set:
  • Must-haves: experience working with a data orchestrator, cloud-based architectures, SQL, Python
  • Great-to-haves: Docker, Kubernetes, MongoDB, experience with data streaming
  • You have experience designing, building and operating data pipelines/ETL
  • You have experience in data warehouse design, with expertise in preparing datasets for production environments
  • You can translate business questions into data engineering requirements and enjoy working on high-impact projects
  • Your communication skills are one major reason your teammates value you as a source of knowledge and advocate for all things data engineering
  • You have worked on fast-moving Agile teams
  • You possess strong product-oriented thinking with a deep understanding of customer needs and domain-specific challenges.
  • Fluent in English, both written and spoken

What You'll Get

  • Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan). Employees receive units (based on job level) that have no initial value, but will crystallize upon an exit event and turn into cash. An exit event is a public listing of Staffbase or an acquisition by another company
  • Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
  • Growth Budget - all employees get a yearly budget for external training of €1000, and one day off for growth per year (increase to two days in 2nd year)
  • Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
  • Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
  • Support - we’re offering a company pension scheme
  • Health - The offices are equipped with fruits, drinks and snacks and ergonomic workplaces
  • Team Building - Regular team and office events including the yearly Staffbase Camp
  • Volunteers Day - you’ll get one day off per year for supporting a social project
  • Employee Referral Program - one of your friends is a fit to one of our full-time openings? Refer them and get a referral bonus paid

  • Tätigkeitsbereich
    IT
  • Professional Software Developer (all genders)
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