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Data Engineer (m/f/d)

Clariant clariant.com Open · verified Oct 24, 2026
Lodz Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Clariant. Lodz.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationLodz
PostedSep 14, 2026 · 5w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build data pipelines that support changing needs across engineering and process functions
  • Tune existing data processes to improve speed and efficiency in industrial operations
  • Develop data models and schemas for business and operational areas
  • Link systems, lead data governance work, and add GenAI and RAG patterns to data capabilities
  • Trace complex data issues to their cause and turn data insights into clear next steps for business audiences

What you bring

  • A degree in computer science, engineering or a comparable discipline
  • At least four years in data engineering, preferably in chemicals or an industrial setting
  • Advanced Python, SQL and ETL skills, plus experience using a major cloud platform such as AWS
  • You can work fluently in English

Who this fits

This mid-level role suits someone who can bridge technical and business teams on data needs tied to engineering and process work. The position is in Lodz, Poland, with a hybrid work model.

From the employer

Job ID: 41832 | Location: Lodz, Poland | Expected Salary Range: zł129,000.00 - zł215,000.00 | Work Model: Hybrid

We are looking for a Data Engineer to design, implement, and optimize data pipelines that power efficient data processing, storage, and analysis across our global organization. You will be embedded in our Engineering & Process Technology function, working at the intersection of data, business operations, and chemical industry processes. You will play a key role in shaping our data landscape by driving governance initiatives, integrating systems, and advancing data capabilities through cutting-edge technologies. If you are passionate about translating complex data challenges into real business value, we would love to hear from you.

What will you be doing?

  • Data Pipeline Development – Design and implement complex data pipelines that meet evolving business requirements across engineering and process functions.
  • Process Optimization – Develop and execute optimization strategies for existing data processes to improve efficiency and performance in an industrial context.
  • Data Modeling – Lead the development of sophisticated data models and schemas across various business and operational domains.
  • System Integration – Drive end-to-end data integration solutions across multiple systems and platforms.
  • Data Governance – Initiate and champion data governance initiatives to ensure data quality and compliance.
  • AI Integration – Implement GenAI integration patterns and RAG pipelines to enhance data capabilities.
  • Problem Resolution – Resolve complex data-related issues through systematic root cause analysis.
  • Stakeholder Communication – Act as a bridge between technical teams and business stakeholders, translating data insights into actionable outcomes for non-technical audiences.



What are we looking for?

  • Education: Degree in Computer Science, Engineering or similar.
  • Experience: 4+ years in data engineering, preferably within the chemical or industrial sector.
  • Technical skills: Advanced proficiency in Python, SQL, and ETL tools; experience with major cloud platforms (AWS preferred).
  • Soft skills: problem-solving mindset; ability to operate effectively in a business-driven, cross-functional environment; continuous learning orientation.
  • Language: fluent English.



What’s in it for you?

  • Compensation Structure Components: base salary determined individually based on experience, skills, and role alignment; performance related 12% yearly bonus.
  • Benefits: internal and external trainings, language courses, sport card (Multisport), private health care (Medicover), additional life insurance, corrective eyeglasses refund, discount card for the restaurants.
  • Relocation package adjusted to your current location.
  • Working environment: hybrid work model at the Monopolis complex in Lodz (wheelchair accessible workplace).
  • Social culture: integrational team events, broad range of initiatives provided by Social Team, possibility to participate in the charity activities.
  • A rewarding challenge to develop your skills and career in a professional environment as part of an enthusiastic team dedicated to delivering top-class services

Your Contact

Zuzanna Glapińska
Talent Acquisition Partner
Telephone: +48 42 293 49 72 | mobile: +48 538 895 907| E-mail: zuzanna.glapinska@clariant.com

Clariant is a Swiss-based global specialty chemicals company, which is concentrated and developed in three business units: Care Chemicals, Catalysts and Adsorbents & Additives. Our purpose as a company is reflected in our tagline "Greater chemistry - between people and planet", which considers the principles of customer, innovation and people orientation, as well as a focus on creating solutions to foster sustainability in different industries by offering high-value and high-performance chemical specialties.
At Clariant, we believe that diversity, equity and inclusion are essential to our success. We strive to cultivate a workplace where all employees feel welcomed, respected, supported, and valued. Our diverse workforce allows us to tap into a wealth of perspectives, experiences, and capabilities that drive innovation. We are committed to ensuring equal opportunities for professional growth and advancement across all levels of the organization, based on objective criteria and regardless of gender, gender identity, race, ethnicity, religion, protected veteran status ,age, disability, sexual orientation or other aspects of diversity in accordance with the relevant governing laws. By bringing together talented individuals with diverse backgrounds and viewpoints, we gain the agility to meet the evolving needs of our global customers and communities. Join our team to help advance our mission of fostering a culture of belonging where everyone can thrive.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.