Job vacancy example data engineer
Are you looking for an experienced data engineer to strengthen your data team? With our sample job description, you’ll attract exactly those professionals who possess the right mix of technical expertise, analytical thinking, and business insight. This job template provides a powerful starting point that you can easily tailor to the specific requirements and goals of your organization. That way, you'll quickly find the ideal data engineer for your team.
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Data engineer
Data Engineer at [Company Name] – Help shape the data-driven future
Company Description
[Company Name] is a leading player in technological innovation and data solutions. We help organizations across various sectors – from healthcare to finance and from logistics to retail – to work data-driven and make impactful decisions. Our team consists of dedicated professionals who collaborate daily on projects that make a real difference. Due to our growth ambitions, we are looking for a Data Engineer who shares our mission and enjoys working on complex and scalable data platforms.
Your Role as Data Engineer
As a Data Engineer at [Company Name], you are responsible for designing, building, and managing robust data infrastructures. You work closely with data scientists, analysts, and software engineers to make data available, reliable, and usable. Thanks to your efforts, large amounts of data are efficiently processed into insights that directly support our clients' strategic and operational decisions.
Your Responsibilities
- Designing and developing scalable data pipelines (ETL/ELT) for structured and unstructured data.
- Integrating data sources from various internal and external systems.
- Optimizing existing processes to improve performance, reliability, and data quality.
- Designing data storage solutions such as data lakes and data warehouses.
- Implementing monitoring and logging to ensure data availability and integrity.
- Automating data processing and validation wherever possible.
- Collaborating in multidisciplinary teams with colleagues from data science, business intelligence, and software development.
What You Bring
- A completed Bachelor's or Master’s degree in a relevant field (e.g., Computer Science, Data Science, or Software Engineering).
- At least 3 years of experience as a Data Engineer or in a similar role.
- Proven experience with programming languages such as Python, Java, or Scala.
- In-depth knowledge of data processing tools such as Apache Spark, Hadoop, Kafka, or Airflow.
- Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, BigQuery).
- Experience with cloud platforms (AWS, GCP, or Azure) and Infrastructure as Code (such as Terraform).
- Strong analytical skills, solution-oriented, and attention to detail.
- Good communication skills and a team-oriented attitude.
What We Offer You
- A market-competitive salary that matches your experience and skill level.
- Excellent secondary benefits, including:
- Non-contributory pension
- Flexible working hours and remote work options
- MacBook or laptop of your choice
- Travel allowance or NS Business Card
- Annual training budget and certification programs
- An innovative, informal, and ambitious working environment.
- Impactful projects for high-profile clients.
- A lot of freedom and responsibility in your role.
- Opportunities for personal growth and career advancement.
The Application Process
Are you excited? Apply now via [email address] and include your CV and motivation letter. Please mention “Application Data Engineer – Ref: DE-001” in the subject line.
The application process consists of:
- Introductory phone call
- Personal (possibly online) interview
- Technical case or assessment
- Final interview and offer
We aim to provide feedback within two weeks of your application. Diversity and inclusion are important to us: everyone is welcome to apply, regardless of background or experience level.
Application Deadline
The vacancy closes on [closing date]. Don’t wait too long to apply – we process applications in order of receipt.
Questions?
Do you have questions about the vacancy or about working at [Company Name]? Contact [contact person] at [phone number] or send an email to [email address]. We look forward to hearing from you!
