Junior Data Engineer in City of Westminster

Junior Data Engineer in City of Westminster

City of Westminster Full-Time 30000 - 40000 ÂŁ / year (est.) No home office possible
Smart Communications.

At a Glance

  • Tasks: Build and maintain data pipelines, ensuring high-quality data for analytics and reporting.
  • Company: Join a dynamic SaaS business focused on data-driven decision-making.
  • Benefits: Competitive salary, annual bonus, extensive health insurance, and 25 days holiday plus your birthday off.
  • Other info: Fully remote role with a friendly, flexible work environment in Covent Garden.
  • Why this job: Gain hands-on experience with modern cloud technologies and tackle real-world data challenges.
  • Qualifications: 1-3 years in data engineering, solid Python and SQL skills, and eagerness to learn.

The predicted salary is between 30000 - 40000 ÂŁ per year.

We are looking for a Junior Data Engineer who’s excited to contribute to a growing Data Operations function within a SaaS business. In this role, you’ll help build and maintain reliable, high‑quality data pipelines that support internal reporting, analytics, and operational needs across the company. Working closely with the Data Engineer and the wider Data Operations team, you’ll help develop scalable data processes, maintain trusted datasets, and support the smooth operation of our enterprise data platform. You’ll assist in integrating new internal data sources, improving data quality, and helping to create well‑governed data assets that enable accurate reporting, meaningful insights, and future analytical work. This is an excellent opportunity for someone early in their data engineering career who wants hands‑on experience with modern cloud data technologies, solid engineering best practices, and real‑world data challenges. You’ll grow your technical skills while contributing to initiatives that help teams across the business make informed, data‑driven decisions.

Responsibilities

  • Build and maintain reliable data pipelines that load and transform data within our enterprise data lake.
  • Develop and maintain data transformations using PySpark and SQL to support internal reporting and analytics needs.
  • Ingest and integrate data from internal and approved external sources using a variety of integration patterns and APIs.
  • Apply and monitor data quality checks to help ensure accuracy, completeness, and consistency across datasets.
  • Support day‑to‑day data operations, including job monitoring, incident triage, reruns, backfills, and general platform maintenance.
  • Assist with root‑cause analysis and post‑incident improvements to enhance pipeline reliability.
  • Collaborate with stakeholders to gather clear data and reporting requirements, document outcomes, and translate needs into well‑defined technical tasks.
  • Record and manage work items in JIRA, ensuring tasks are well‑organized, up‑to‑date, and clearly documented.
  • Contribute to data governance activities, including data cataloging, metadata upkeep, documentation, and adherence to security and access standards.
  • Maintain clear technical documentation for data pipelines, workflows, and operational procedures.
  • Work with the Data Engineer and wider Data Operations team to support analytics, reporting initiatives, and internal data consumers.

Qualifications

  • 1–3 years’ experience in data engineering, analytics engineering, or a related role.
  • Bachelor’s degree (or equivalent experience) in computer science, data & analytics, or a related discipline.
  • Solid knowledge of Python and SQL.
  • Hands-on experience building or maintaining data pipelines.
  • Practical experience with PySpark (DataFrames and Spark SQL).
  • Familiarity with cloud storage concepts (e.g. Amazon S3).
  • Experience working with data tables and basic data modelling concepts.
  • Experience writing technical documentation.
  • Strong organizational and time management skills.
  • Strong problem-solving skills and attention to detail.
  • Eagerness to learn and grow in the field of data engineering.
  • Experience working with Databricks and Delta Lake.
  • Experience integrating data via REST APIs.
  • Exposure to data quality frameworks or validation techniques.
  • Basic understanding of data governance or access control concepts.
  • Experience with AWS-based data platforms.
  • Familiarity with BI and reporting tools such as Power BI, Tableau, or AWS QuickSight.

Values

  • S: Speak Openly — We are positive, creative, helpful, and kind; we listen and provide constructive feedback to enable problem solving.
  • M: Make a Difference — We focus on impactful work and hold ourselves accountable.
  • A: Agile & Flexible — We evolve, improve, and remove complexity; we adapt to change.
  • R: Results‑Focused — We deliver with efficiency and attention to detail.
  • T: Teamwork — We collaborate and support each other to deliver results.

What’s the deal?

We will provide you with the tools, equipment and support to give you the best possible chance of success and over‑achieving your goals. Salary will depend on your experience and will be highly competitive. All our packages include an annual bonus based on the company’s performance, so we are all incentivized to over‑achieve. In addition to a friendly, flexible and fun working environment, we provide a range of other benefits, including extensive health insurance, income protection, life assurance, subsidised gym membership, leisure travel insurance, pension contribution, Cycle2Work and childcare vouchers, as well as 25 days’ holiday allowance plus an additional day off for your birthday. Located in Covent Garden, our offices are comfortable, flexible, and are always stocked with free beverages and fresh fruit. This role is fully remote.

Please note: we only consider applicants with current legal right to work in the countries in which our positions are based. All qualified applicants will receive consideration for employment regardless of race, colour, religion, sex, national origin, sexual orientation, age, disability, marital status or gender identity.

Junior Data Engineer in City of Westminster employer: Smart Communications.

Join a dynamic SaaS company as a Junior Data Engineer, where you'll be part of a collaborative and innovative Data Operations team. Enjoy a flexible and friendly work environment in the heart of Covent Garden, with competitive salary packages, extensive health benefits, and ample opportunities for professional growth. With a focus on teamwork and impactful work, this role offers you the chance to develop your skills while contributing to meaningful data-driven decisions across the organisation.
Smart Communications.

Contact Detail:

Smart Communications. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Junior Data Engineer in City of Westminster

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines, PySpark, and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and practical tasks. Practice coding challenges and be ready to discuss your past experiences with data quality checks and pipeline maintenance.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Junior Data Engineer in City of Westminster

Data Pipeline Development
PySpark
SQL
Data Integration
Data Quality Checks
Root Cause Analysis
Technical Documentation
JIRA
Data Governance
AWS
REST APIs
Data Modelling
Cloud Storage Concepts
BI Tools

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior Data Engineer role. Highlight your experience with Python, SQL, and any data pipeline projects you've worked on. We want to see how you can contribute to our Data Operations team!

Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data engineering. Share why you're excited about this role and how your background aligns with our mission at StudySmarter. Keep it concise but impactful!

Showcase Your Projects: If you've worked on any relevant projects, whether in school or on your own, make sure to mention them! We love seeing practical applications of your skills, especially if they involve data pipelines or cloud technologies. It gives us a glimpse of what you can bring to the table.

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 keen on joining the StudySmarter family. Don’t miss out on this opportunity!

How to prepare for a job interview at Smart Communications.

✨Know Your Data Tools

Make sure you brush up on your knowledge of Python, SQL, and PySpark before the interview. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your practical experience and understanding of data engineering.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in data engineering and how you resolved them. This could be anything from debugging a data pipeline to improving data quality. Highlighting your problem-solving skills will demonstrate your ability to handle real-world data challenges.

✨Understand Data Governance

Familiarise yourself with data governance concepts and frameworks. Be prepared to discuss how you would ensure data quality and security in your work. This shows that you understand the importance of maintaining trusted datasets and can contribute to the company's data governance activities.

✨Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or how they measure success in the Data Operations function. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.

Junior Data Engineer in City of Westminster
Smart Communications.
Location: City of Westminster

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