You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
SAP IT Business Systeme

(Junior) Data Engineer - Integration & AI

  • Hybrid
  • 0-3 years
  • English (B2)

Salary

Not stated

Similar roles pay €45K - 85K a year · our estimate

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

This role is for a junior data engineer whose work sits where data engineering, integration and AI meet. It suits someone who likes linking systems, handling data, and finding ways AI can make business processes work better.

The team is global and based in Prague. You will work with integration and AI specialists to build data solutions that link applications, APIs, databases and modern data platforms.

You will use SAP Integration Suite, Databricks, cloud services and AI-enabled tools, and grow your skills in data engineering and enterprise integration.

The company builds enterprise applications and business AI, supporting finance, procurement, HR, supply chain and customer experience. It has served organizations for over 50 years.

Responsibilities

  • Design, build, test and maintain integration solutions on SAP Integration Suite.
  • Bring together data from APIs, databases, applications and other enterprise systems using SAP technologies and Databricks.
  • Use AI-enabled features to strengthen data quality checks, validation and processing.
  • Work with AI experts and project teams to turn project needs into reliable, scalable data solutions.
  • Learn SAP integration and data engineering good practice by working on real projects.
  • Collaborate with colleagues from other technical areas and learn from experienced integration and AI specialists.
  • Help customers make better use of their data and adopt modern cloud and AI technology.

Requirements

  • Working knowledge of AI and ML concepts is essential. Hands-on experience with AI/ML workflows, or with adding AI features to applications and data solutions, is preferred.
  • Basic SQL skills and programming in Python or Java.
  • Understanding of data pipelines, ETL and ELT, and how data moves between applications and systems.
  • Familiarity with data preparation, validation and profiling.
  • Interest in or exposure to cloud platforms and modern data tools. Experience with Databricks or a similar platform is a plus.
  • Interest in enterprise integration and willingness to build expertise in SAP Integration Suite and SAP Business Technology Platform.
  • Strong English communication skills and the ability to work well in an international team.
  • A university degree in computer science, engineering, data science, information technology or a related field. Early-career candidates with internships, student placements, or junior roles in integration, data engineering, consulting or a related area are also welcome.

Conditions

Based in Prague, working in a global team.

Successful candidates may be asked to complete a background check with an external provider.

Use of AI in the application process must follow the company's ethical AI guidelines. Violations may lead to removal from the hiring process.

The company is committed to equal employment opportunity and provides accommodations for applicants with disabilities.

Benefits

  • Flexible working models.
  • A culture that focuses on inclusion, health and well-being.
  • Investment in employee development.
  • SAP employees may refer candidates for permanent roles under the employee referral program, subject to its rules.

Where you’d work

Part of the week in the office

About the company

SAP IT Business Systeme

  • Industry: SaaS

Office in Prague, Czechia

Also hiring in Munchen, Germany, United Kingdom, Reston, United States and 23 more places

3 of their 103 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 3 red flags

Still hiring?

13 checks

1 red flag

How crowded?

6 checks

2 red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company, Requirements
Tech stack
  • Python
  • SQL
  • Databricks
Seniority
Junior
Type
Full-time
Industry
SaaS
Specialty
Data Engineering
Region
Europe
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Junior
Experience
50+ years
Tech stack
  • Python
  • SQL
  • Databricks

Location

Work model
Hybrid
Region
Europe
Office
  • Prague, Czechia

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

Requirements

Languages
  • English (B2)

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason