Junior Data & AI Engineer

Reposted 4 Days Ago
Be an Early Applicant
Bratislava, SVK
Hybrid
Junior
Information Technology • Consulting
The Role
Supports the development and maintenance of data pipelines, data preparation, transformation, integration, quality assurance, and workflow automation. Collaborates with engineers, data scientists, and stakeholders on data and AI projects, contributes to APIs and services, and assists with testing, troubleshooting, and performance monitoring. The role provides hands-on experience with data engineering, software development, analytics, and AI technologies.
Summary Generated by Built In
Where your journey begins and your potential shines

At Synpulse, we don’t just consult – we transform. As a leading global management and technology consultancy with Swiss roots, we empower financial institutions to navigate change and seize new opportunities. Since 1996, we've been shaping the future of financial services by delivering cutting-edge expertise in strategy, operations, and technology to banks and insurers worldwide. 
What sets us apart is our people. At Synpulse, we cultivate a collaborative, high-impact culture where initiative and creativity are valued. With 21 offices across Europe, the Americas, and Asia-Pacific, we bring together diverse perspectives and talents. We believe innovation thrives where everyone feels they belong and can contribute. 
Our core values – Embrace, Drive, Achieve – shape how we work and evolve. We don’t just offer jobs – we offer the chance to develop, make an impact, and be part of a team that’s redefining the future of financial services.
We are looking for a motivated Junior Data & AI Engineer to join our growing Data & AI team. This role is ideal for a recent graduate or someone at the beginning of their career who is passionate about data, software development, and artificial intelligence.

You will work alongside experienced engineers and consultants to help build data pipelines, support analytics solutions, and contribute to innovative AI initiatives. This is a great opportunity to develop hands-on experience with modern data engineering tools and technologies while working on projects that create real business value.
Job requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, Artificial Intelligence, or a related field (or graduating soon).
  • Basic knowledge of Python programming.
  • Understanding of data structures, databases, and SQL fundamentals.
  • Interest in data engineering, analytics, and AI technologies.
  • Familiarity with version control tools such as Git.
  • Strong analytical and problem-solving skills.
  • Eagerness to learn new technologies and work in a collaborative environment.
  • Fluent communication skills in English.

Nice to have:
  • Exposure to cloud platforms such as Azure, AWS, or Google Cloud through coursework, projects, or internships.
  • Experience with personal, academic, or internship projects involving data analytics, machine learning, or AI.
  • Familiarity with data visualization tools such as Power BI, Tableau, or similar.
  • Understanding of ETL concepts and data pipelines.
  • Exposure to AI frameworks, machine learning libraries, or Large Language Models (LLMs).
  • Participation in hackathons, university projects, open-source contributions, or technical communities.

Job responsibilities
  • Support the development and maintenance of data pipelines for structured and unstructured data.
  • Assist in data preparation, transformation, and integration activities.
  • Collaborate with senior engineers, data scientists, and business stakeholders on data and AI projects.
  • Help ensure data quality, consistency, and reliability across systems.
  • Contribute to the automation of data-related processes and workflows.
  • Support the development of APIs and services that enable data access and integration.
  • Participate in testing, troubleshooting, and performance monitoring of data solutions.
  • Learn and apply best practices in data engineering, software development, and AI technologies.

Benefits
  • Five extra vacation days on top of regulation
  • Sick leave compensation 100% from day one
  • 3 sick days per year
  • Attractive performance bonus based on project performance up to 10%
  • Cafeteria benefit system with a flexible allowance of 500 EUR per year for education, health benefits,      shopping, travel, cultural activities, and sports options
  • Overtime fully paid or compensated based on your preference
  • A friendly and informal working environment
  • Work-life balance with flexible working hours and the option to work from home (by agreement)
  • Dedicated time for individual training
  • MultiSport card
  • & more

Salary range offered starts at 1890 EUR for full time position, may vary based on your seniority level, skills and experience. Part-time is also possible based on an agreement. 
Please note that our selection process will commence in September 2026, and we will begin reviewing applications and contacting shortlisted candidates at that time.

Skills Required

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, Artificial Intelligence, or a related field, or graduating soon
  • Basic knowledge of Python programming
  • Understanding of data structures, databases, and SQL fundamentals
  • Interest in data engineering, analytics, and AI technologies
  • Familiarity with version control tools such as Git
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and work collaboratively
  • Fluent communication skills in English
  • Exposure to cloud platforms such as Azure, AWS, or Google Cloud
  • Experience with personal, academic, or internship projects involving data analytics, machine learning, or AI
  • Familiarity with data visualization tools such as Power BI, Tableau, or similar
  • Understanding of ETL concepts and data pipelines
  • Exposure to AI frameworks, machine learning libraries, or Large Language Models
  • Participation in hackathons, university projects, open-source contributions, or technical communities

Synpulse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Synpulse and has not been reviewed or approved by Synpulse.

  • Wellbeing & Lifestyle Benefits — Wellbeing resources, subsidized fitness, sports activities, company events, and a 24/7 assistance program are emphasized. Feedback suggests these offerings are broadly available and contribute to a supportive environment.
  • Strong & Reliable Incentives — Performance bonuses and annual profit sharing are presented as standard components of total rewards, with a token program intended to provide a longer-term stake. Feedback suggests success-sharing is positioned as a regular feature, even as specifics can differ by location and role.
  • Healthcare Strength — Private medical and dental coverage, life insurance, and confidential counseling are offered in at least some locations such as the UK. Feedback suggests healthcare support is a notable pillar of the benefits suite.

Synpulse Insights

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The Company
HQ: Zürich
1,197 Employees
Year Founded: 1996

What We Do

Synpulse is a global management consulting and technology partner focused on financial services. It helps financial institutions address major challenges through tailored solutions spanning strategy, implementation, innovation, and business transformation. Drawing on deep industry expertise and market-tested methodologies, the company bridges innovation and business, delivering effective solutions across clients’ value chains while emphasizing efficiency, collaboration, long-term partnerships, and measurable impact.

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