Junior Data Engineer (FAP-BC-ENG-2024-135-GRAE) (2024)

The European Council for Nuclear Research (CERN) is a premier research institution specializing in particle physics, where groundbreaking experiments probe the fundamental nature of matter and the universe. CERN’s innovative experiments, including the Large Hadron Collider, push the boundaries of scientific knowledge and technological development. By fostering international collaboration, CERN serves as a global hub for advancing fundamental science and exploring the universe’s deepest mysteries.

JOB SUMMARY

Job Description

Your responsibilities

Are you a Data Engineer with a passion for managing and optimizing data pipelines?

Do you thrive on transforming raw data into actionable insights and enjoy working with a variety of data tools and technologies? Are you excited about the prospect of working in an agile environment and being part of a self-organized team?

Then join our team of talented engineers and contribute to maintain and develop CERN’s Corporate Information Systems! Take part!
You will join the Business Computing (BC) group.

Our team is responsible for the operation and the further development & evolution of CERN’s core financial and procurement systems supporting the entire organization.

The type of products under your responsibility will range from custom-made solutions for a few users to large and widely integrated systems with 15,000+ users.

Working with us provides numerous perspectives for being in touch with different technologies and business areas.
Specifically, you will take on the following responsibilities:

  • Design, develop, and test data models and extractions (ETL), using Pentaho Data Integration (and other Data Integration tools/techniques), SQL, PL/SQL, R and Python;
  • Interact with relational databases using SQL;
  • Extract and visualize data in forms, reports and interactive dashboards;
  • Configure and write software to integrate data from standard third-party provided software solutions run on premise or available in the cloud;
  • Maintain, support and enhance existing (legacy) systems;
  • Provide end user support and carry out data migrations and software upgrades.

Your profile

Skills and/or knowledge

If you are excited about this role but your past experience does not align perfectly with every qualification in the job description, we encourage you to apply anyway.

You may just be the right candidate for this or other roles!

  • Experience in working with data warehouses, data integration / ETL tools and business intelligence solutions;
  • Experience with relational databases and SQL;
  • Experience with version control systems, particularly, Git;
  • Initial experience with reporting/dashboarding tools and techniques (e.g.

Pentaho Report Designer, CTools, Power BI, R, Shiny, Python);

  • Ability to work collaboratively in an Agile self-organised team environment;
  • Comfortable in working with both new and legacy systems.
  • Fluent in English, the ability to work in French would be an advantage.

Each of the following would be a plus:

  • Understanding of ERP systems and their integration with other systems;
  • Knowledge of CI/CD tools like GitLab or equivalent;

Eligibility criteria:

  • You are a national of a CERN Member or Associate Member State.
  • By the application deadline, you have a maximum of two years of professional experience since graduation in IT, Software/Systems Engineering (or a related field) and your highest educational qualification is either a Bachelor’s or Master’s degree.
  • You have never had a CERN fellow or graduate contract before.
  • Applicants without University degree are not eligible.
  • Applicants with a PhD are not eligible.

Additional Information

Job closing date: 01.09.2024 at 23:59 (midnight) CEST.

Job reference: FAP-BC-ENG-2024-135-GRAE

Contract duration: 24 months, with a possible extension up to 36 months maximum.

Target start date: 01-November-2024

What we offer

  • A monthly stipend ranging between 5134 and 5647 Swiss Francs (net of tax).
  • Coverage by CERN’s comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
  • Depending on your individual circ*mstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract.
  • 30 days of paid leave per year.
  • On-the-job and formal training at CERN as well as in-house language courses for English and/or French.

About us

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe.

Using the world’s largest and most complex scientific instruments, they study the basic constituents of matter – fundamental particles that are made to collide together at close to the speed of light.

The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.

Diversity has been an integral part of CERN’s mission since its foundation and is an established value of the Organization.

Employing a diverse workforce is central to our success.

REQUIRED EDUCATION: Bachelor Degree

EXPERIENCE REQUIREMENTS: 60

Junior Data Engineer (FAP-BC-ENG-2024-135-GRAE) (2024)

FAQs

How hard is it to get a data engineer job? ›

Data engineering is a highly technical role. You need to have a strong grasp of computing, data handling, and, in certain cases, areas like cloud computing and machine learning. The key is to build a strong theoretical foundation and gain practical experience through personal projects, internships, and networking.

What is expected of a junior data engineer? ›

A Junior Data Engineer must have a strong foundation in data engineering principles and practices. They should be proficient in programming languages such as Python or Java, as well as SQL for working with databases. Knowledge of big data technologies like Hadoop and Spark is also advantageous.

Why is data engineering so tough? ›

Simply put, hard work and dedication to the craft. I've seen a lot of fence-sitters and wafflers in my time. To get ahead in Data Engineering, you need nothing but single-minded determination for the projects you work on and your personal goals as a Data Engineer. There are no shortcuts to mastery.

Are data engineers rare? ›

Data engineers are hard to find.

Just 18% of companies have a data team and less than 6% of companies have a data engineer or team (Data Engineer Hiring Report from LinkedIn). 2.

Can I get a data engineer job with no experience? ›

Becoming a data engineer may seem like a daunting task, especially if you have no prior experience in the field. However, with the right approach and a lot of dedication, you can pave the way towards a successful career in data engineering.

Is data engineer a well paid job? ›

The average salary for Data Engineer is ₹9,62,000 per year in the India. The average additional cash compensation for a Data Engineer in the India is ₹1,00,000, with a range from ₹50,000 - ₹1,41,750. Salaries estimates are based on 11731 salaries submitted anonymously to Glassdoor by Data Engineer employees in India.

Are data engineers in demand in 2024? ›

In recent years, the demand for data engineers has surged, and 2024 is set to continue this trend. As businesses increasingly rely on data to drive decisions and gain competitive advantages, the role of the data engineer has become crucial.

Is data engineering a lot of coding? ›

Coding is important for data engineers. They work on data processing, building data pipelines, and designing data architectures. Strong programming skills are needed for these tasks. Important programming languages for data engineering education include Python, SQL, Scala, and Java.

Is data engineering math heavy? ›

In general, data engineering is not math-heavy. It would be helpful to be familiar with statistics and probability to get a sense of what data scientists in your team will do.

Why are data engineers highly paid? ›

Key factors include industry, experience, education, company size, and skills. Data engineers in finance, healthcare, and tech industries tend to earn more. Higher experience levels, advanced degrees, and proficiency in high-demand skills like Python, SQL, Hadoop, and Spark also lead to higher salaries.

Will data engineer be replaced? ›

So, to answer the question, "Will AI replace data engineers?" — No, but it will transform our roles and the landscape of our profession. Embracing AI as a co-pilot rather than a replacement will be key to thriving in this new era.

Is data engineering obsolete? ›

Data engineering is a field that evolves very fast, and you need to keep up with it. Data is growing exponentially, and new systems and techniques are needed to manage vast amounts of data.

Are data engineers hard to find? ›

Top Data Engineers are difficult to find. Many of the brightest talents have already been hired to work at big companies, creating a vacuum of talent in the marketplace. But that doesn't mean that talent is unavailable.

Are data engineers in high demand? ›

As companies increasingly rely on data to drive business decisions, skilled data engineers are in high demand across industries. With the right expertise, you can secure a rewarding career at the forefront of data management and analysis.

Is data engineer competitive? ›

Data engineers face fierce competition in the job market, with many competent applicants fighting for few available opportunities.

Is data engineer interview hard? ›

You should know that interviewees rate data engineer interview questions as medium-hard. They can be challenging, and it is not always easy to tackle technical data engineer interview questions.

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