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SENIOR DATA ENGINEER AND DATA SCIENTIST

ABB

SENIOR DATA ENGINEER AND DATA SCIENTIST

ABB

Bergamo, Bergamo, Italy

·

On-site

·

Full-time

·

4w ago

Benefits & Perks

Learning Budget

Remote Work

Learning

Remote Work

Required Skills

Databricks

PySpark

Python

SQL

Large Language Models

Prompt Engineering

RAG

Data Engineering

Data Science

Data Science & AI Specialist

About ABB

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we'll give you what you need to make it happen. It won't always be easy, growing takes grit. But at ABB, you'll never run alone. Run what runs the world.

Position Overview

Reports to: Data Science & AI Specialist

Work Model: Hybrid

Location: Italy or Switzerland

Unit: Digital Platforms & Capabilities Agile Unit in Electrification Smart Power

About the Role

In this role, you will have the opportunity to shape the future of data-driven decision making and AI innovation within ABB. You will contribute to building robust data infrastructure and analytics solutions, and maintaining cutting-edge generative and agentic AI systems that empower the Digital Agile Unit and the Data Insight team to deliver actionable insights and new AI features.

Each day, you will apply your expertise in data engineering, data science, and AI to design scalable data pipelines, optimize data workflows, maintain LLM-based solutions, and enable advanced analytics that drive strategic business decisions.

Responsibilities

You will be mainly accountable for:

  • Design and Build Scalable Data Pipelines: Develop and maintain robust data engineering solutions using Databricks and Py Spark to process, transform, and integrate large-scale datasets from multiple sources.
  • Enable Data-Driven Decision Making: Create and optimize data models, analytics frameworks, and reporting solutions that provide actionable insights to business stakeholders and leadership teams.
  • Maintain and Optimize Generative AI Solutions: Oversee the deployment, monitoring, and continuous improvement of LLM-based applications, including generative and agentic AI systems. Ensure reliability, performance, and cost-effectiveness of AI solutions in production.
  • Develop and Refine AI Agents: Build and maintain intelligent agents that leverage Large Language Models for automated decision-making, data analysis, and business process optimization. Implement prompt engineering strategies and fine-tuning approaches to enhance agent performance.
  • Lead End-to-End Data Projects: Take ownership of data initiatives from requirements gathering and architecture design through implementation, testing, and deployment in production environments.
  • Collaborate Across Functions: Work closely with business analysts, data scientists, product owners to understand data needs and deliver solutions that support strategic decision-making processes.
  • Promote Best Practices and Innovation: Champion data engineering and AI excellence, implement Data Ops and MLOps practices, mentor team members, and stay current with emerging technologies in the data engineering, analytics, and generative AI.

Team Dynamics

Our teams support each other, collaborate, and never stop learning. Everyone brings something unique, and together we push ideas forward to solve real problems. Being part of our team means your work matters - because the progress we make here creates real impact out there.

Qualifications

  • MSc or PhD in Computer Science, Data Engineering, Computer Engineering, Applied Mathematics, Statistics, or a related field.
  • Minimum 5 years of experience in data engineering and/or data science roles, preferably in industrial, energy, or technology sectors.
  • Expert-level proficiency in Databricks and Py Spark for building distributed data processing pipelines. Strong command of Python and SQL for data manipulation, transformation, and analysis.
  • Proven experience with Large Language Models (LLMs): Hands-on experience deploying, maintaining, and optimizing generative AI solutions. Proficiency in prompt engineering, RAG (Retrieval-Augmented Generation) architectures, and agentic AI frameworks (e.g., Lang Chain, Llama Index, Auto Gen).
  • Experience with cloud data platforms (e.g., Azure, AWS), data warehousing concepts, ETL/ELT processes, and modern data stack tools. Familiarity with data orchestration tools (e.g., Apache Airflow) is a plus.
  • Knowledge of data modeling, data governance, and analytics best practices. Experience with visualization tools (e.g., Power BI, Tableau) is desirable.
  • Analytical thinker with a proactive, problem-solving attitude.
  • Comfortable working in agile environments and translating complex business requirements into technical solutions.
  • Fluent in English, both written and spoken.

What's in It for You

We empower you to take the lead, share bold ideas, and shape real outcomes. You'll grow through hands-on experience, mentorship, and learning that fits your goals. Here, your work doesn't just matter, it moves things forward.

About ABB Smart Power

ABB Smart Power provides energy distribution solutions for data centers, industrial and manufacturing plants, critical infrastructure and commercial buildings. The Division's technical teams work closely with industry partners, delivering advanced solutions that support rapid growth, energy transition, and sustainability objectives. The Division's portfolio includes industrial circuit breakers, low-voltage systems, motor starting applications, and safety devices like switches and relays. Its Power Protection unit supports the world's largest data center companies with advanced energy-efficient UPS solutions. The Division's ABB Ability™ Energy Manager provides a scalable, easy-to-use platform that helps organizations save energy and reduce CO2 emissions.

Why ABB

Working at ABB gives you the opportunity to contribute to a healthier and more prosperous world. Add to your story by joining a passionate team, focused on pushing the boundaries of technology to drive performance, shape new business models and find new ways of working that benefit our customers, partners and society. We want you to be proud of being part of ABB.

We Care

At ABB, we care about our people and their stories. We create safe, fair, equitable and inclusive working environments in which our people can succeed and develop, regardless of gender, ethnicity, sexual orientation or cultural, religious or social background. Diverse teams make us stronger. ABB is also committed to a high standard of integrity in everything we do.

We Grow

We help our people succeed and develop, and we empower them to create their own careers at ABB. Our benefits, reward and development programs encompass a wide array of offerings.

How to Apply

Do you want to shape the future, together with us? Get more insights into our recruitment process and find some helpful tips and tricks how to join the team. Make our story your story.

Visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.

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About ABB

ABB

ABB

Public

ABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.

10,001+

Employees

Zurich

Headquarters

Reviews

3.5

3 reviews

Work Life Balance

3.0

Compensation

2.0

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Award ceremonies and achievement recognition

Professional experience opportunities

Relevant marketing and writing experience

Cons

Awards only recognize sales and leadership teams

Auxiliary departments excluded and understaffed

No cost of living raises provided

Salary Ranges

405 data points

Mid/L4

Senior/L5

Mid/L4 · Project Manager

102 reports

$117,433

total / year

Base

$109,179

Stock

-

Bonus

$8,254

$79,130

$175,443

Interview Experience

5 interviews

Difficulty

3.8

/ 5

Duration

14-28 weeks

Offer Rate

20%

Experience

Positive 0%

Neutral 60%

Negative 40%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

System Design/Panel Interview

5

Onsite/Final Round

6

Offer Decision

Common Questions

Technical Knowledge

System Design

Behavioral/STAR

Past Experience

Problem Solving