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For Companies At a Glance
- Tasks: Build and scale high-performance data pipelines for millions of customer insights.
- Company: Join a fast-growing leader in Customer AI Analytics and Data Science.
- Benefits: Enjoy flexible working, private medical insurance, and a supportive culture.
- Why this job: Work with cutting-edge tech and make a real impact on data-driven decisions.
- Qualifications: Deep experience in data platforms, cloud, SQL, and backend languages required.
- Other info: Be part of a diverse team that values innovation and personal development.
The predicted salary is between 43200 - 72000 ÂŁ per year.
About Intent HQ Recognised by the Financial Times as one of the FT1000 Fast‑growing companies in Europe in 2022 and 2023, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. With a blue‑chip international enterprise customer base and solid financial backing from our investors, our mission is to become the world’s pre‑eminent Customer Intent platform by combining privacy‑first signals intelligence, proprietary behavioural AI/ML analytics and uniquely accessible enterprise insights into a single platform that organisations use to build more genuine, sustainable and profitable relationships with their customers.
Our initial focus was on solving problems for clients in the telecommunications sector, including Verizon and Orange. We have since expanded into Financial Services, Retail and Social Media, serving clients such as HB Reavis and Zurich Group. Our clients typically have tens of millions of customers and billions of interaction events each day. The platform is built to handle data at this enormous scale efficiently, enabling one client to increase annual revenue by ÂŁ26 million as a result of using our products and services.
Why Join Us
- Exciting Work Environment: Work on cutting‑edge technology at the intersection of AI and data analytics.
- We are Winners: AI Company of the year 2024 & Best in Tech Employer Women in Tech awards 2022 & 2023.
- Growth Opportunities: Advance your career in a fast‑paced, innovative industry.
- Hybrid Working: Based in our London office 2‑3 days per week and the rest of the week remote.
The Opportunity
We’re looking for a Senior Data Engineer to help power data platforms that process millions of customer insights every day. You’ll design and scale the systems that turn massive volumes of raw data into reliable, high‑impact intelligence used across the business. You’ll partner with product, analytics and engineering teams to build fast, resilient and secure data pipelines at scale. If you love solving hard data problems, optimising systems under real‑world load and building platforms that teams depend on every day, this role is for you.
Key Responsibilities
- Build and scale high‑performance data pipelines that process millions of customer data points.
- Architect cloud‑native data platforms designed for reliability, speed and growth.
- Translate business and analytics needs into production‑grade data solutions.
- Automate workflows to keep data flowing smoothly and reduce operational overhead.
- Integrate data systems across new and existing products and services.
- Monitor, troubleshoot and continuously improve platform performance and reliability.
- Identify and eliminate performance bottlenecks and data quality issues before they impact customers.
- Own documentation for architecture, pipelines and operational playbooks.
- Evaluate and introduce best‑in‑class tools and technologies as we scale.
- Champion data security and act in line with ISMS responsibilities to protect customer data.
What we’re looking for
- Deep experience building data platforms and pipelines at scale.
- Strong cloud experience (AWS, Azure or GCP).
- Expertise in SQL and at least one backend language (Python, Scala, Java, etc.).
- Hands‑on experience with data warehouses, ETL/ELT and distributed systems.
- A mindset for performance, reliability and automation.
- Confidence working cross‑functionally and owning technical decisions.
- Exposure to large‑scale analytics platforms (e.g., Snowflake, BigQuery, Databricks).
Diversity & Inclusion
Intent HQ is an equal opportunities employer with an ethos of commitment to promoting and practising diversity, equality and inclusion at work. We value and respect different perspectives, ideas and experiences, providing fair and equal opportunities for all. Our diversity and inclusion efforts have been recognised with two consecutive Women in Tech UK Awards and a shortlist for Best Employer for Parental Support.
Our Culture
Working for Intent HQ gives you the opportunity to work with cutting‑edge technology in an environment that encourages thinking and acting outside traditional methods. We are a growing business with a flat structure, meaning everyone is visible and able to make an impact across the business on a daily basis. We promote a collaborative, innovative and sociable culture oriented towards performance and competitive advantage, with flexibility, family‑friendly support and a focus on personal development.
Benefits
- Private Medical Insurance (subject to eligibility)
- Income Protection with Employee Assistance Programme (EAP)
- Life Assurance
- Higher than statutory maternity & paternity benefits
- Pension scheme
- Flexible working
- 26 days holiday (increasing with service)
- Tech pack
- Training opportunities
- Wellbeing programme
- Oliva mental health platform & counselling
- Cycle to Work scheme
- Free access to onsite gym (including towel‑serviced changing rooms and showers)
- Free breakfast daily & healthy weekly lunch (when in office)
Senior Data Engineer employer: Intent HQ
Contact Detail:
Intent HQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Intent HQ on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about your experience with data pipelines and cloud platforms. We want to see how you tackle real-world problems!
✨Tip Number 3
Show your passion for data! During interviews, share specific examples of projects where you’ve made an impact. We love hearing about how you’ve optimised systems or solved tricky data challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Intent HQ.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data platforms, cloud technologies, and any relevant projects that showcase your skills in building high-performance data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at Intent HQ. Don’t forget to mention specific technologies you’ve worked with that are relevant to the role.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love candidates who can demonstrate their ability to optimise systems and improve performance under real-world loads.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Intent HQ
✨Know Your Data Inside Out
Make sure you’re well-versed in the data platforms and pipelines you've worked with. Be ready to discuss specific projects where you built or optimised data systems, especially at scale. Highlight your experience with cloud services like AWS, Azure, or GCP, as this is crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Whether it’s automating workflows or troubleshooting performance issues, be ready to explain your thought process and the impact of your solutions on the business.
✨Understand the Business Context
Familiarise yourself with Intent HQ's mission and the industries they serve. Be prepared to discuss how your technical skills can translate into business value, particularly in sectors like telecommunications, financial services, and retail.
✨Emphasise Collaboration and Communication
Since the role involves working cross-functionally, highlight your experience collaborating with product, analytics, and engineering teams. Share examples of how you’ve communicated technical concepts to non-technical stakeholders to ensure everyone is aligned.