Senior Analytics Engineer in London

Senior Analytics Engineer in London

London Full-Time 55000 - 65000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform raw data into clean datasets and develop scalable data solutions.
  • Company: Join Viasat, a global leader in communication technology.
  • Benefits: Competitive salary, inclusive culture, and opportunities for growth.
  • Other info: Collaborative environment focused on continuous improvement and innovation.
  • Why this job: Make a real impact by working with cutting-edge data technologies.
  • Qualifications: Advanced SQL skills and experience with data modelling and orchestration tools.

The predicted salary is between 55000 - 65000 € per year.

About us

One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.

What you’ll do

  • Develop high quality data models that transform raw data into clean, analytics‑ready datasets using tools like SQL, Python, dbt, BigQuery and Prefect.
  • Work closely with the Data Product Owner and our product stakeholders to understand data requirements and translate business and analytical needs into scalable ‘product marts’.
  • Implement and maintain data quality checks, documentation and version control to ensure reliability and transparency in analytics workflows.
  • Support Agile delivery practices by participating in refinement and prioritisation exercises and taking ownership of your own work backlog to ensure timely delivery of analytical products.

The day‑to‑day

  • Write performant SQL queries to build and enhance datasets used for business dashboard, reporting and analysis.
  • Design and lead the development of flexible, scalable data solutions that meet immediate business needs, support AI integration and adapt to evolving future developments.
  • Investigate and resolve data issues by debugging pipelines, validating data outputs and collaborating with source system teams.
  • Document key logic, assumptions and dependencies within your data models to ensure they are understandable and maintainable.
  • Work across teams to prioritise work based on business impact and support end users in accessing and understanding the data.
  • Seek opportunities to reduce manual effort and improve consistency across datasets.

What you’ll need

  • Advanced SQL skills with experience working in modern data warehouses particularly GCP BigQuery.
  • Familiarity with the Software Development lifecycle, data quality frameworks, system observability, and experience with source control tools like GitHub.
  • Hands on experience with dbt or similar transformation tools.
  • Strong data modelling principles, including star schema, and best practices for building scalable data assets that can be used in BI and other user‑facing tools.
  • Experience working with data pipeline orchestration tools like Prefect or Airflow and comfortable working with Python for data orchestration.
  • Ability to communicate clearly with both technical and non‑technical stakeholders, translating data into business value.
  • Comfort working in Agile environments with focus on iterative development, feedback and continuous improvement.

What will help you on the job

  • Has a curious and problem‑solving approach, comfortable taking ownership and accountability, and with a desire to understand how data supports our products and commercial goals.
  • Has passion for building clean, efficient and well documented data solutions.
  • Is willing to share knowledge and support colleagues, especially in tools like dbt, SQL and best practices for data model development.
  • Has a growth mindset, embracing change and supporting colleagues as we continue to grow as a team.

EEO Statement

Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic.

Senior Analytics Engineer in London employer: RigNet

At Viasat, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to think big and act fearlessly. As a Senior Analytics Engineer, you will have the opportunity to work with cutting-edge technologies in a collaborative environment that values continuous learning and growth. With a commitment to employee development and a focus on impactful projects, Viasat offers a unique chance to contribute to global communication solutions while advancing your career.

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Contact Detail:

RigNet Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Analytics Engineer in London

Tip Number 1

Network like a pro! Reach out to current employees at Viasat on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Analytics Engineer role. Personal connections can make a huge difference!

Tip Number 2

Show off your skills in real-time! If you get the chance, participate in coding challenges or hackathons related to data analytics. This not only showcases your SQL and Python prowess but also demonstrates your problem-solving abilities in a fun way.

Tip Number 3

Prepare for the interview by brushing up on Agile methodologies and data modelling principles. Be ready to discuss how you've implemented data quality checks and collaborated with stakeholders in past projects. We want to see your thought process!

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 Viasat.

We think you need these skills to ace Senior Analytics Engineer in London

Advanced SQL skills
Data Modelling Principles
GCP BigQuery
dbt or similar transformation tools
Data Pipeline Orchestration (Prefect or Airflow)
Python for data orchestration
Software Development Lifecycle

Some tips for your application 🫡

Show Off Your SQL Skills:Make sure to highlight your advanced SQL skills in your application. We want to see how you've used SQL in real-world scenarios, especially with GCP BigQuery. Don’t just say you know it; give us examples of how you've built and enhanced datasets!

Talk About Your Data Modelling Experience:We love a good data model! Share your experience with data modelling principles, especially star schema. Let us know how you've built scalable data assets and how they’ve been used in BI tools or other user-facing applications.

Emphasise Your Agile Mindset:Since we work in Agile environments, it’s crucial to show that you’re comfortable with iterative development and feedback. Tell us about your experiences in Agile teams and how you’ve taken ownership of your work backlog to deliver analytical products on time.

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 don’t miss any important updates. Plus, it shows you’re keen to join our team at Viasat!

How to prepare for a job interview at RigNet

Know Your Tools Inside Out

Make sure you’re well-versed in SQL, Python, dbt, and BigQuery. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to share real examples will show that you can translate technical knowledge into practical solutions.

Understand the Business Impact

Before the interview, research Viasat’s mission and how data plays a role in their operations. Be prepared to discuss how your analytical skills can drive business value and support their goals. This shows you’re not just a techie but someone who understands the bigger picture.

Prepare for Agile Discussions

Since the role involves Agile practices, think about your experiences with Agile methodologies. Be ready to talk about how you’ve participated in refinement sessions or managed your own backlog. Highlighting your adaptability and teamwork will resonate well with the interviewers.

Showcase Your Problem-Solving Skills

Think of specific challenges you’ve faced in data modelling or pipeline orchestration and how you resolved them. Discussing your problem-solving approach will demonstrate your critical thinking and ability to handle real-world data issues, which is crucial for this role.