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Unilever Engineering Jobs (NOW HIRING)

Manager, Paid Social

New York, NY · On-site

$55 - $73/hr

... programming. WPP Unite, comprised of the best talent in the industry, will pioneer a truly integrated agency model and drive unprecedented growth for Unilever in the years to come. Role Summary and ...

We support hundreds of developers working in the frontend every week, making sure that they can use ... Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI ...

Software Engineer

New York, NY · On-site

$195K - $400K/yr

Unilever's CEO has said the company will move roughly half of its ad budget into social and ... As a foundational member of engineering, you'll work directly with our founders to design, build ...

... programming. WPP Unite, comprised of the best talent in the industry, will pioneer a truly integrated agency model and drive unprecedented growth for Unilever in the years to come. Role Summary As a ...

Safety Engineer

Covington, TN · On-site

$71K - $107K/yr

Safety by Design & Engineering * Project Safety & Execution (NEW - Enhanced) * Systems & Digital Transformation * Innovation & Continuous Improvement (Kaizen) * Risk Management & Incident Improvement

Showing results 41-60

Unilever Engineering information

See salary details

$44.5K

$123.3K

$181.5K

How much do unilever engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for unilever engineering in the United States is $123,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,500.00 per year, depending on experience, location, and employer.

What is Unilever engineering's hiring process like?

Unilever engineering typically involves submitting an online application, followed by assessments or technical tests relevant to engineering skills. Successful candidates are then invited for interviews, which may include technical and behavioral components, and sometimes assessment centers or practical tasks before an offer is made.

How hard is it to get into Unilever Engineering?

Getting into Unilever Engineering can be competitive, often requiring relevant technical skills, a strong educational background in engineering or related fields, and relevant experience or internships. Candidates typically undergo multiple interview stages, including technical assessments, to demonstrate their qualifications for the role.

What is the difference between Unilever Engineering vs Unilever Maintenance Technician?

AspectUnilever EngineeringUnilever Maintenance Technician
Required CredentialsEngineering degree or diploma, technical certificationsTechnical diploma or certification, vocational training
Work EnvironmentDesign, development, and improvement of manufacturing processesPerforming repairs, troubleshooting, and routine maintenance on equipment
Employer & Industry UsageUsed across manufacturing, product development, and process optimizationPrimarily in manufacturing plants for equipment upkeep

Unilever Engineering roles focus on designing and improving production processes, requiring engineering credentials. Maintenance Technicians handle equipment repairs and routine maintenance, often with vocational training. Both roles are essential in Unilever's manufacturing environment but differ in responsibilities and required qualifications.

What are the key skills and qualifications needed to thrive as an engineer at Unilever?

To thrive as an Engineer at Unilever, you need a solid background in engineering principles, problem-solving abilities, and typically a bachelor's degree in engineering or a related field. Familiarity with industry-standard software like AutoCAD, SAP, and experience with manufacturing systems or Lean Six Sigma certification is often required. Strong teamwork, communication, and adaptability help engineers collaborate effectively and drive continuous improvement in dynamic environments. These competencies are critical for ensuring operational efficiency, innovation, and the successful delivery of high-quality products.

What are some common challenges faced by engineers at Unilever, and how does the company support overcoming them?

Engineers at Unilever often face challenges such as managing multiple projects simultaneously, adapting to rapidly evolving technology, and ensuring sustainability in manufacturing processes. The company supports its engineers through robust training programs, cross-functional teamwork, and access to global best practices. Additionally, Unilever encourages continuous learning and innovation, providing opportunities for engineers to participate in mentorship programs and technical communities to stay ahead in their field.

What is Unilever Engineering?

Unilever Engineering refers to the team of engineers who work within Unilever to design, develop, and maintain the company’s manufacturing processes and facilities. These engineers play a crucial role in optimizing production efficiency, implementing sustainable and innovative technologies, and ensuring product quality across Unilever’s global brands. The field encompasses various engineering disciplines such as mechanical, chemical, electrical, and process engineering. Unilever engineers collaborate closely with R&D, supply chain, and quality assurance teams to deliver safe, high-quality products to consumers. Careers in Unilever Engineering offer opportunities for professional growth, international collaboration, and contributing to sustainability goals.
More about Unilever Engineering jobs
What states have the most Unilever Engineering jobs? States with the most job openings for Unilever Engineering jobs include:
Infographic showing various Unilever Engineering job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $123,284 per year, or $59.3 per hour.

Senior Engineering Manager - Enzyme

Databricks

Mountain View, CA • On-site

$228K - $317K/yr

Full-time

Posted yesterday

New


Job description

P-1110
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
We are the Lakeflow Engineering team, responsible for Databricks ETL product line such as Spark Declarative Pipelines, Structured Streaming, and Ingestion. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.
We're seeking a dedicated Engineering Leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration.
The main responsibilities include:
  • You will lead an engineering team building the next-generation Materialized View features for the Databricks Lakeflow platform.
  • You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team.
  • You will build processes to implement product vision and strategy, according to organizational goals and priorities.
  • You will build software that is not just high quality but easy to operate.

What we look for:
  • Minimum 3 years of experience in managing top-tier engineering teams
  • 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals.
  • A passion for database systems, storage systems, distributed systems, or performance optimization
  • Experience working with product management, and directly with customers; ability to understand customer needs.
  • Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.
  • Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$228,600-$317,233 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.