Remote Data Engineering Lead in Essex

Remote Data Engineering Lead in Essex

Essex Full-Time No working from home possible
Attio

At a Glance

  • Tasks: Lead the development of data infrastructure and pipelines for a cutting-edge CRM.
  • Company: Join Attio, a fast-growing tech company backed by top investors like Google Ventures.
  • Benefits: Enjoy a competitive salary, equity, 25 days holiday, and private medical insurance.
  • Other info: Be part of a dynamic team with opportunities for growth and exciting off-site events.
  • Why this job: Shape the future of data at Attio and make a real impact on business decisions.
  • Qualifications: Experience in data engineering, cloud-native environments, and modern data tools like BigQuery and SQL.

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place.

About the role

Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless — all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re hiring Attio’s first dedicated Data Engineering Lead to build the infrastructure, pipelines and standards that enable the company to operate on reliable, trusted data at scale. As our inaugural Lead Data Engineer, you’ll own and evolve our internal data platform end-to-end — improving reliability, enabling better decision-making, and shaping the long-term foundations of data across the business. Your work will directly support teams across Product, Engineering, Marketing, Finance and Go-To-Market.

We see this as far more than a traditional Data Engineering role. It’s an opportunity to define and shape Attio’s future data capability from the ground up — operating as a highly hands-on senior IC initially, whilst helping establish the foundations, standards and strategic roadmap for how the broader data function evolves over time. The role is ideally suited to someone who enjoys bringing structure to ambiguity, solving complex infrastructure challenges, and working closely with the business in a fast-moving, product-led environment. We’re looking for someone who is equally comfortable being hands-on and building, whilst also thinking strategically about how scalable data systems, processes and teams should evolve over time.

What you'll do

  • Build and stabilise core data infrastructure: Design, build and maintain reliable, scalable pipelines and systems that ensure data flows correctly across the business and support critical operational and reporting workflows.
  • Improve data reliability and observability: Own and improve the quality, resilience and maintainability of Attio’s broader data infrastructure — helping reduce operational risk and improve trust in the data underpinning the business.
  • Shape Attio’s future data architecture: Partner closely with Product, Engineering and business stakeholders to define how our data platform should evolve over time, balancing immediate business needs with long-term scalability.
  • Enable better business decision-making: Help create the foundational datasets, transformations and infrastructure required to support experimentation, analytics and operational reporting across the company.
  • Operate as a senior technical leader: Bring clarity and direction within ambiguity — taking loosely defined problems, creating clear plans of execution, and driving outcomes with a high degree of ownership and autonomy.
  • Help build the future data function: Contribute toward defining best practices, technical standards and longer-term hiring plans as Attio’s data capability matures and scales over time.

What you’ll bring

  • Strong Data Engineering foundations: Deep hands-on experience designing and maintaining modern data infrastructure, pipelines and transformation layers within cloud-native environments.
  • Technical depth across modern data tooling: Strong hands-on Data Engineering capability across modern tooling such as BigQuery, DBT, SQL and Python (or equivalent ecosystems e.g. Snowflake).
  • Startup or scale-up experience: You’ve operated within fast-moving product or engineering-led environments and understand how to balance speed, ambiguity and long-term technical quality.
  • Translation across abstraction levels: Able to move fluently between ambiguous business problems and precise technical implementation by translating effectively in both directions.
  • Quantitative reasoning: Able to translate ambiguous business concepts (e.g. “activated workspace” or “qualified lead”) into clear, measurable and defensible definitions, with strong judgement around whether resulting outputs represent meaningful signal or simply noise.
  • High ownership and autonomy: Comfortable operating as a senior IC with minimal direction. You have experience being responsible for problems end-to-end and driving them through to resolution.
  • Pragmatic technical leadership: You’re able to bring structure and prioritisation to unclear problem spaces, communicate effectively with both technical and non-technical stakeholders, and influence decisions across the business.
  • Commercial and operational awareness: You understand that data infrastructure is not just an engineering problem: it directly impacts product velocity, reporting accuracy, experimentation capability and commercial performance.
  • Bias for action: You move with urgency, enjoy solving difficult problems, and are equally comfortable operating strategically as you are rolling up your sleeves and building directly.

What we offer

  • Competitive salary of £115,000 - £145,000
  • Equity in an early-stage tech company on an incredible trajectory
  • 25 days holiday plus local public holidays
  • Apple hardware
  • Private medical insurance through AXA
  • Pension contribution through Hargreaves Lansdown
  • Enhanced family leave
  • Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

What does the hiring process look like?

  • Initial Conversations
  • 30-minute introductory call with a member of our Talent team
  • 45-minute conversation with our CTO

Remote Data Engineering Lead in Essex employer: Attio

Attio is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the tech industry. As a Remote Data Engineering Lead, you'll enjoy competitive salaries, equity in a rapidly growing company, and generous benefits including 25 days of holiday and private medical insurance. With a strong emphasis on employee growth and collaboration across teams, Attio provides a unique opportunity to shape the future of data capabilities while working alongside talented individuals who are passionate about their craft.

Attio

Contact Details:

Attio Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Data Engineering Lead in Essex

Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their products and challenges, so you can show how you’d fit right in and contribute to their goals.

Tip Number 3

Practice your pitch! Be ready to explain your experience and how it aligns with the role. Keep it concise but impactful, highlighting your unique skills and what you bring to the table.

Tip Number 4

Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s just good manners!

We think you need these skills to ace Remote Data Engineering Lead in Essex

Data Engineering
Cloud-native Environments
BigQuery
DBT
SQL
Python
Data Infrastructure Design

Some tips for your application 🫡

Show Your Passion:When you're writing your application, let your enthusiasm for data engineering shine through! We want to see that you genuinely care about building reliable systems and delighting users with what you create.

Tailor Your Experience:Make sure to highlight your relevant experience in data engineering, especially with modern tools like BigQuery and SQL. We love seeing how your background aligns with the challenges we face at Attio!

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on how your skills can help us tackle complex problems and improve our data infrastructure.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.

How to prepare for a job interview at Attio

Know Your Data Tools

Make sure you’re well-versed in the modern data tooling mentioned in the job description, like BigQuery, DBT, SQL, and Python. Brush up on your hands-on experience with these tools, as you might be asked to discuss specific projects or challenges you've faced using them.

Showcase Your Problem-Solving Skills

Prepare to discuss how you've tackled complex data infrastructure challenges in the past. Think of examples where you brought structure to ambiguity and drove outcomes with minimal direction. This will demonstrate your ability to operate effectively in a fast-moving environment.

Understand the Business Impact

Be ready to explain how data infrastructure impacts product velocity and commercial performance. Show that you understand the broader implications of your work and how it supports decision-making across various teams within the company.

Communicate Clearly with Stakeholders

Practice translating technical concepts into business language. You’ll need to communicate effectively with both technical and non-technical stakeholders, so think about how you can convey your ideas clearly and persuasively during the interview.