Junior Data Engineer

Junior Data Engineer

Full-Time 28800 - 48000 ÂŁ / year (est.) No home office possible
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smart.co

At a Glance

  • Tasks: Build and maintain data pipelines to solve real-world problems.
  • Company: Join Smart, a leading fintech revolutionising retirement and savings.
  • Benefits: Enjoy 25 days holiday, training budget, and extensive healthcare.
  • Why this job: Make a meaningful impact while working with innovative technology.
  • Qualifications: Experience in data engineering and proficiency in Python and SQL.
  • Other info: Inclusive culture with opportunities for personal and professional growth.

The predicted salary is between 28800 - 48000 ÂŁ per year.

At Smart, our mission is to transform retirement, savings and financial wellbeing, across all generations, around the world.

As part of the Backend Engineering function and reporting to the Data Engineering Tech Lead, the Junior Data Engineer will be working on engineering and maintaining clients’ ETL processes and other data pipelines. This is an opportunity to be involved in the design, deployment and maintenance of data pipeline solutions across multiple clients. As a Junior Data Engineer you’ll get a kick out of interacting with data in all its forms. More importantly, you get excited by the prospect of using data to solve problems. You will need to be able to talk to techies and non-techies alike and make suggestions about solutions to problems that can be understood and implemented.

Smart strives to provide a comfortable, relaxed working environment and the Data Engineering team is no different. We take great pride in our work and strive to hit sometimes challenging deadlines but we like to make sure that people are enjoying their work as we do it. This is not an easy balance to strike but being open and honest with each other is an important step in the right direction.

What you will do:

  • Implementing new data pipelines for new or existing clients
  • Maintaining existing data pipelines and handling errors as necessary
  • Evaluating the existing data warehouse solution to recommend updates and integration requirements to improve our ways of working
  • Impact assessing change requests, ensuring that changes don’t break existing workflows
  • Supporting the other Data Engineers in reviewing code changes, debugging errors and pair-coding to implement new client requirements

WHO WE ARE LOOKING FOR

The skills, experience and aptitudes we are looking for are listed below but please don’t be discouraged from applying if you don’t meet every single one of these criteria – having a ‘can do’ attitude is sometimes more important than being able to tick every box:

  • 2+ years’ experience in data engineering;
  • Developing with Python (>= v3.9);
  • Maintaining a dbt_core project;
  • Working in an Apache Airflow environment;
  • Database development experience, preferably in AWS Redshift but any database experience is good;
  • Working knowledge of SQL.

Nice to have technical skills:

  • Working with APIs to ingest data into databases;
  • Experience working with AWS services.

WHO WE ARE

We work in partnerships with governments and financial institutions in the UK and internationally. Our cloud-native digital platform is revolutionising how people around the world think about, and save for, their retirement. At heart, we’re a financial technology business. What we do is all about innovation, and using the power of digital change to put the customer first. Our Engineers will tell you that working at Smart gives you the opportunity to play your part in developing world-class technological solutions, working with – and learning from – like-minded people. You’ll also find that, across our business, our colleagues love Smart’s culture, and how what we do means better financial outcomes for savers.

BENEFITS

At Smart, one of the eight principles we work to is “We want happy and good people in our team”. We created a list of benefits that helps us achieve this goal:

  • 25 days’ holiday per year, increasing with length of service.
  • ÂŁ500 annual training budget to spend on your professional development
  • Extensive private healthcare, including dental, eyecare and EAP
  • Enhanced sick leave (three months’ pay per year)
  • Enhanced maternity and paternity (maternity – 6 months fully paid/paternity – 3 weeks fully paid)
  • Death in service insurance cover
  • Fully-paid five-week sabbatical after five years of employment
  • In office wellbeing, such as manicures, massages and barbers.

At Smart, we are committed to creating an inclusive and equitable workplace where everyone feels valued, respected, and empowered to do their best work. We believe that diverse perspectives help us lead the way in transforming retirement, savings and financial wellbeing. We welcome differences in background, experience, thinking, and identity, and we recognise that innovation is strongest when it is built on inclusion and fairness. We encourage applications from people of all backgrounds and experiences and do not discriminate on the basis of any protected characteristic. If you require any reasonable adjustments during the recruitment process or in the workplace, we encourage you to let us know - we are committed to supporting you.

We think Smart is an awesome place to work. If it sounds like somewhere you’d like to work, too, and if you’re ready to play your part in our continued success in the future, then naturally we’d love to meet you.

Junior Data Engineer employer: smart.co

At Smart, we pride ourselves on fostering a supportive and innovative work culture that empowers our employees to thrive. As a Junior Data Engineer, you'll benefit from extensive professional development opportunities, generous holiday allowances, and a commitment to employee wellbeing, all while contributing to meaningful projects that enhance financial outcomes for savers worldwide. Our inclusive environment encourages diverse perspectives, making Smart not just a workplace, but a community where your contributions truly matter.
smart.co

Contact Detail:

smart.co Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Junior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Smart on LinkedIn. A friendly chat can give you insider info and maybe even a referral. Plus, it shows your genuine interest in the company!

✨Tip Number 2

Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've tackled data problems in the past. We want to see your problem-solving skills in action!

✨Tip Number 3

Show off your passion for data! During interviews, share specific examples of how you've used data to drive decisions or improve processes. It’s all about demonstrating that you’re excited about the role.

✨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 serious about joining the Smart team!

We think you need these skills to ace Junior Data Engineer

Data Engineering
Python (>= v3.9)
dbt_core
Apache Airflow
Database Development
AWS Redshift
SQL
API Integration
AWS Services
Problem-Solving Skills
Communication Skills
Collaboration
Debugging
Code Review

Some tips for your application 🫡

Show Your Passion for Data: When you're writing your application, let your enthusiasm for data shine through! Talk about how you love interacting with data and solving problems. We want to see that you’re excited about the role and how you can contribute to our mission.

Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that match what we’re looking for. If you've got experience with Python, SQL, or any of the tools mentioned, shout about it! We appreciate when candidates take the time to connect their background to the role.

Be Honest About Your Skills: Don’t worry if you don’t tick every single box in the job description. We value a ‘can do’ attitude just as much as technical skills. If you’re eager to learn and grow, let us know! It’s all about finding the right fit for both you and us.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us that you’re genuinely interested in joining our team at Smart!

How to prepare for a job interview at smart.co

✨Know Your Data Engineering Basics

Make sure you brush up on your data engineering fundamentals, especially around ETL processes and data pipelines. Be ready to discuss your experience with Python, SQL, and any relevant tools like dbt_core or Apache Airflow. This will show that you’re not just familiar with the concepts but can also apply them in real-world scenarios.

✨Show Your Problem-Solving Skills

Prepare to share specific examples of how you've used data to solve business problems in the past. Think about challenges you've faced and how you approached them. This will demonstrate your ability to think critically and creatively, which is key for a Junior Data Engineer role.

✨Communicate Clearly

Since you'll be interacting with both techies and non-techies, practice explaining complex technical concepts in simple terms. This will help you connect with your interviewers and show that you can bridge the gap between different teams effectively.

✨Embrace the Culture Fit

Smart values a relaxed working environment, so be yourself during the interview. Share what excites you about working in data engineering and how you align with their mission of transforming financial wellbeing. A genuine connection can go a long way in making a positive impression.

Junior Data Engineer
smart.co
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