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 clientsâ 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 youâll 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 donât 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 donât be discouraged from applying if you donât meet every single one of these criteria â having a âcan doâ attitude is sometimes more important than being able to tick every box:
- 2+ yearsâ 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, weâre 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 â and learning from â like-minded people. Youâll also find that, across our business, our colleagues love Smartâs culture, and how what we do means better financial outcomes for savers.
BENEFITS
At Smart, one of the eight principles we work to is âWe want happy and good people in our teamâ. We created a list of benefits that helps us achieve this goal:
- 25 daysâ 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 monthsâ pay per year)
- Enhanced maternity and paternity (maternity â 6 months fully paid/paternity â 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 youâd like to work, too, and if youâre ready to play your part in our continued success in the future, then naturally weâd love to meet you.
Junior Data Engineer employer: smart.co
Contact Detail:
smart.co Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Junior Data Engineer
â¨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!
â¨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!
â¨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. Itâs all about demonstrating that youâre excited about the role.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre serious about joining the Smart team!
We think you need these skills to ace Junior Data Engineer
Some tips for your application đŤĄ
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 youâre 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 weâre 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: Donât worry if you donât tick every single box in the job description. We value a âcan doâ attitude just as much as technical skills. If youâre eager to learn and grow, let us know! Itâs all about finding the right fit for both you and us.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets to the right people. Plus, it shows us that youâre genuinely interested in joining our team at Smart!
How to prepare for a job interview at smart.co
â¨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 youâre not just familiar with the concepts but can also apply them in real-world scenarios.
â¨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.
â¨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.
â¨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.