Senior Software Engineer, Trustpilot

Data Enablement

Salary not provided

+ Bonus

MongoDB
AWS
Docker
Kubernetes
GCP
Python
Java
Kafka
Airflow
Azure
BigQuery
DynamoDB
Senior level
London
Trustpilot

Consumer review website

Be an early applicant

Trustpilot

Consumer review website

501-1000 employees

B2CB2BMarketplaceMarketingReviewsCommunity

Be an early applicant

Salary not provided

+ Bonus

MongoDB
AWS
Docker
Kubernetes
GCP
Python
Java
Kafka
Airflow
Azure
BigQuery
DynamoDB
Senior level
London

501-1000 employees

B2CB2BMarketplaceMarketingReviewsCommunity

Company mission

To bring people and businesses closer together to create ever-improving experiences for everyone.

Role

Who you are

  • Deep expertise in software engineering principles, with proficiency in Python, Java, or similar languages
  • Proficient in utilizing cloud services such as AWS, GCP, or Azure, paired with a comprehension of cloud-native architectural principles
  • Demonstrated experience in developing and enhancing data flow processes through the use of technologies such as Kafka, Apache Beam, Airflow, and comparable streaming platforms
  • Experience working with both relational and NoSQL databases (e.g., DynamoDB, MongoDB, BigQuery), with a solid understanding of data modelling and query optimization
  • Experience with containerization and orchestration (e.g., Docker, Kubernetes)
  • Proficient in verbal and written exchanges, capable of collaborating efficiently with diverse teams, encompassing roles in data science, analytics, and product engineering
  • A mindset oriented toward progress, tirelessly pursuing advancements in cloud technologies and refining data engineering methodologies
  • Experience mentoring and supporting junior team members, with a collaborative approach to solving complex problems

What the job involves

  • As a Senior Data Engineer on the Data Engineering team, you will take the helm in designing and developing sophisticated cloud-based solutions to ensure our data pipelines are sturdy, efficient, and designed to scale appropriately, while also meeting data governance best practices
  • Ou will drive impactful projects, optimizing our data systems to support everything from analytics to machine learning. Join us in building a modern data ecosystem that empowers stakeholders across Trustpilot
  • Architect and develop scalable, high-performance data pipelines to meet the needs of our growing user base, focusing on cloud-native solutions (AWS, GCP)
  • Spearhead initiatives to enhance and sustain our data infrastructure, ensuring steadfast and stable data flow to support groups including product management, data analysis, and ML engineering teams
  • Develop and enhance real-time and batch processing systems utilizing platforms such as Kafka, Apache Beam, Airflow, and additional advanced technologies
  • Collaborate closely with engineers, data analysts, and ML engineers to develop solutions that align with business needs, performance, and compliance
  • Apply advanced software engineering principles to build and maintain services that are secure, efficient, and future-proof
  • Assume responsibility for advanced technical projects, mitigate outdated code, and enhance system robustness, scalability, and economic efficiency
  • Provide guidance to emerging engineers, promoting a culture of team-based education, advancement, and originality
  • Stay engaged with the latest trends in cloud technologies, streaming architectures, and data processing tools, constantly improving Trustpilot’s data capabilities

Salary benchmarks

Our take

Fuelled by the rise of the consumer voice, Trustpilot started out from the vision that a brand's future is trust and transparency powered.

Since launching, Trustpilot has over 167 million reviews across the 714,000+ websites on its platform, with new reviews being added every single second. The company works hard to make sure customers are reading reviews based on real experiences and take an active stance in combating fake reviews. This includes forming a partnership with Veriff to offer identity verification services to the community.

Trustpilot earns a majority of its revenue from companies that subscribe to its services. This enables companies to collect reviews at key moments in customer journeys, showcase their reviews elsewhere, and unlock customer insights. The company is entering a new period of growth as it navigates a renewed strategic direction, fuelled by a successful IPO in 2021.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

41% female employees

1% employee growth in 12 months

Company

Funding (last 2 of 7 rounds)

Mar 2019

$55m

SERIES E

Jan 2017

$6.8m

LATE VC

Total funding: $178.7m

Company benefits

  • Maternity & Paternity pay
  • Train travel scheme
  • '20% time' - work on anything you’d like
  • 28 days holiday (excl. bank holidays)
  • Work from home opportunities
  • Pension and life insurance
  • Full access to Headspace
  • Regular events and socials
  • Health cash plan, online GP, 24/7, Employee Assistance Plan
  • And more! (Varies by location)

Company values

  • Always With Integrity - We do the right thing, even when nobody’s watching
  • Open To All - Everyone is embraced and included for who they are, and what they bring
  • Collaborative - We work best when we work together
  • Positively Human - We are genuine people that create the Trustpilot family

Company HQ

København K, København

Leadership

Started the company when his parents started shopping online. At the time, they were studying at Aarhus University

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