Senior Data Engineer

Senior Data Engineer

Woking Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to design and maintain high-scale data products and APIs.
  • Company: ID5, a global leader in digital identity solutions for advertising technology.
  • Benefits: Remote-first policy, competitive salary, stock options, and WeWork membership.
  • Why this job: Make an impact with innovative data solutions in a dynamic, inclusive environment.
  • Qualifications: 5+ years in backend/data engineering, proficiency in Java and cloud environments.
  • Other info: Join a friendly, multicultural team with excellent growth opportunities.

The predicted salary is between 36000 - 60000 £ per year.

About Us

Founded in 2017, ID5 has become a global leader in digital identity solutions for the advertising technology industry, partnering with premium publishers, platforms, and advertisers worldwide. Our mission is to enhance addressability across digital environments, providing best-in-class solutions for data protection and identification. Backed by industry investors, ID5 operates as a remote-first company with a commitment to innovation, inclusion, and global collaboration.

Role Overview:

We are looking for a versatile Data Engineer with a strong relation to Java backend engineering to join our Graph Delivery team and help build, extend, and maintain customer-facing graph solutions. You will work on large-scale batch processing pipelines while also contributing to APIs and sometimes UIs, ensuring our products remain reliable, efficient, and impactful. The role requires strong problem ownership, and clear communication across teams like other Engineering teams, Product, and Solution Consulting. You’ll deliver immediate value through fixes and features, while long term driving the evolution of our graph products with new capabilities, improved performance, and architectural coherence.

Key Responsibilities:

  • Join a team to design, build, and maintain batch-oriented high scale data products, along with the APIs and minimalistic UIs that support them.
  • Collaborate with Product, Solution Consulting, and Sales Engineering to deliver solutions for our most strategic customers—whether next-generation innovations or custom-tailored adaptations.
  • Take ownership of the full problem space, spanning data storage and pipelines through to APIs, metadata, and UIs.
  • Improve and extend existing products with new features, cost optimizations, and reliability enhancements, while addressing technical debt and ensuring alignment with the broader architecture.

Required Qualifications:

  • 5+ years of experience in backend and/or data engineering roles, with a strong focus on building and maintaining data pipelines.
  • Proficiency in JVM-based languages (Java, Kotlin), ideally combined with Python and experience in Spring Boot.
  • Solid understanding of data engineering tools and frameworks, like Spark, Flink, Kafka, dbt, Trino, and Airflow.
  • Hands-on experience with cloud environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes.
  • Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks).
  • Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent).
  • Exposure to analytics, reporting, and BI tools such as Apache Superset, Lightdash or OpenSearch.
  • Willingness to work across the stack by contributing to API development and, at times, UI components (Vue.js, Zoho, or similar).
  • Excellent communication and collaboration skills, with the ability to work independently and adapt quickly to complex codebases.
  • Bachelor's or Master’s degree in Computer Science, Engineering, or equivalent experience.

What we offer to our talent:

  • Remote-first working policy.
  • A competitive compensation package, including stock options in ID5.
  • WeWork membership and option to work from different WeWork locations.
  • Regular offsites to enjoy face-to-face time and to bond further with your colleagues.
  • A dynamic environment that offers room for growth and development to all employees.
  • A friendly, international, and multicultural team.

We are proud to be an equal opportunity employer. We celebrate diversity and are passionate about creating an inclusive environment in which all employees can thrive.

Senior Data Engineer employer: ID5.io

ID5 is an exceptional employer, recognised for its commitment to innovation and inclusion within a dynamic remote-first work culture. Employees enjoy a competitive compensation package, including stock options, and the flexibility to work from various WeWork locations, fostering collaboration and personal growth in a friendly, multicultural environment. With regular offsites and a strong focus on employee development, ID5 ensures that every team member can thrive while contributing to cutting-edge digital identity solutions.
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Contact Detail:

ID5.io 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 your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for those interviews! Research ID5 and its products, especially in relation to data engineering and Java backend. Be ready to discuss how your skills align with their mission and how you can contribute to their innovative solutions.

✨Tip Number 3

Showcase your projects! Whether it's through a portfolio or GitHub, highlight your experience with data pipelines and any relevant technologies. This gives potential employers a tangible sense of what you can bring to the table.

✨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 the ID5 team.

We think you need these skills to ace Senior Data Engineer

Java
Kotlin
Python
Spring Boot
Spark
Flink
Kafka
dbt
Trino
Airflow
AWS
GCP
Azure
Kubernetes
SQL
NoSQL
Cassandra
Postgres
Snowflake
Databricks
CI/CD
Grafana
Apache Superset
Lightdash
OpenSearch
Vue.js
Communication Skills
Collaboration Skills
Problem Ownership
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Java backend engineering and data pipelines, as well as any relevant tools like Spark or Kafka. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about joining ID5 and how your background makes you a great fit for our team. Don’t forget to mention your problem-solving skills and collaborative spirit!

Showcase Your Projects: If you’ve worked on any interesting projects, especially those involving cloud environments or data engineering tools, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our remote-first team at ID5!

How to prepare for a job interview at ID5.io

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially JVM-based languages like Java and Kotlin. Brush up on your knowledge of data engineering tools such as Spark and Kafka, as well as cloud environments like AWS or GCP. Being able to discuss these confidently will show that you’re ready to hit the ground running.

✨Showcase Problem Ownership

During the interview, be prepared to share examples of how you've taken ownership of complex problems in your previous roles. Discuss specific challenges you faced, the solutions you implemented, and the impact they had. This will demonstrate your proactive approach and ability to drive results.

✨Communicate Clearly

Since this role involves collaboration with various teams, practice articulating your thoughts clearly and concisely. Use examples from your past experiences to illustrate your communication skills. Remember, it’s not just about what you say, but how you say it that counts!

✨Prepare for Scenario Questions

Expect scenario-based questions that assess your problem-solving abilities and technical expertise. Think through potential scenarios related to data pipelines, API development, or UI components. Practising your responses will help you feel more confident and articulate during the interview.

Senior Data Engineer
ID5.io
Location: Woking
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