National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Software Engineer - Data Enablement

Trustpilot, Inc.
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer – API & ML Infrastructure

Senior Software Developer

Senior Machine Learning Engineer

Senior Data Engineer

Software Engineer III - Data Engineer - Python, SQL - Senior Associate

Senior Data Engineer

Senior Software Engineer - Data Enablement London, United Kingdom

Do you have the skills to fill this role Read the complete details below, and make your application today.Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way — but there’s still an exciting journey ahead. Join us at the heart of trust.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. You 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.What you’ll be doing: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services that are secure, efficient, and future-proof.Assume responsibility for advanced technical projects, mitigate outdated code, and enhance system robustness, scalability, and economic efficiency.Provide guidance to emerging engineers, promoting a culture of team-based education,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.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’s in it for you:A range of flexible working options to dedicate time to what matters to you.Competitive compensation package + bonus.25 days holiday per year, increasing to 28 days after 2 years of employment.Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community.Rich learning and development opportunities are supported through the Trustpilot Academy, LinkedIn Learning, and Blinkist.Pension and life insurance.Health cash plan, online GP, 24/7, Employee Assistance Plan.Full access to Headspace, a popular mindfulness app to promote positive mental health.Paid parental leave.Season ticket loan and a cycle-to-work scheme.Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for.Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials.Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more.Independent financial advice and free standard professional mortgage broker advice.Still not sure?We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don’t feel you don't meet all the requirements, we'd still really like to hear from you!About usTrustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve.Today, we have more than 300 million reviews and 67 million monthly active users across the globe, with 127 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 900 employees and we’re headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.