At a Glance
- Tasks: Build and maintain data pipelines to support analytics and reporting.
- Company: Join a leading tech company focused on meaningful customer conversations.
- Benefits: Competitive salary, extensive health insurance, remote-friendly, and 25 days holiday.
- Other info: Flexible work arrangements and excellent career growth opportunities.
- Why this job: Make an impact in data engineering while growing your skills in a dynamic environment.
- Qualifications: 1-3 years in data engineering, solid Python and SQL knowledge required.
The predicted salary is between 30000 - 40000 € per year.
We are looking for a Junior Data Engineer who is 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 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.
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
Must Have Skills and Experience
- 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.
Advantageous Skills and Experience
- 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.
Benefits
- Salary will depend on your experience and will be highly competitive.
- All packages include an annual bonus based on company performance.
- Extensive health insurance, income protection, life assurance, subsidised gym membership, leisure travel insurance, pension contribution, Cycle2Work, and childcare vouchers.
- 25 days’ holiday allowance plus an additional day off for your birthday.
- Remote‑friendly environment with flexible work arrangements.
Applicable Policies
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.
More About Smart Communications
Smart Communications is a leading technology company focused on helping businesses engage in more meaningful customer conversations. Its Conversation Cloud platform uniquely delivers personalized, omnichannel conversations across the entire customer experience, empowering companies to succeed in today’s digital‑focused, customer‑driven world while also simplifying processes and operating more efficiently.
Junior Data Engineer in London employer: Smart Communications group
Smart Communications is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Junior Data Engineer to thrive. With a strong focus on employee growth, the company offers extensive benefits including competitive salaries, health insurance, and flexible work arrangements, all within a remote-friendly environment. Join a team dedicated to building reliable data solutions that empower meaningful customer interactions while enjoying a supportive atmosphere that values your contributions and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python, SQL, or PySpark. 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. We recommend practicing coding challenges and discussing your past experiences with data pipelines to demonstrate your expertise.
✨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!
We think you need these skills to ace Junior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to 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 your skills match what we're looking for!
Show Off Your Projects:If you've got any personal or academic projects related to data engineering, don’t hold back! Share them in your application. We love seeing practical examples of your work and how you’ve applied your skills.
Be Clear and Concise:When writing your cover letter or application, keep it clear and to the point. We appreciate straightforward communication, so make sure to express your enthusiasm for the role and how you can contribute to our team.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Smart Communications group
✨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 they'll be crucial for building and maintaining data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering or analytics roles. Highlight how you approached these problems, the solutions you implemented, and the outcomes. This will demonstrate your analytical thinking and attention to detail.
✨Understand Data Governance
Familiarise yourself with data governance concepts and why they matter. Be prepared to discuss how you would ensure data quality and security in your work. This shows that you understand the importance of well-governed data assets in supporting accurate reporting and insights.
✨Ask Insightful Questions
At the end of the interview, don’t hesitate to ask questions about the team’s current projects or the company’s data strategy. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
