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- Tasks: Build and optimise data applications using cutting-edge technologies to solve real-world challenges.
- Company: Join BJSS, a forward-thinking tech company with a collaborative and innovative culture.
- Benefits: Enjoy flexible benefits, industry-leading health plans, hybrid working, and generous annual leave.
- Why this job: Make an impact by deploying data solutions that drive business value in a dynamic environment.
- Qualifications: Experience in Python, CI/CD tooling, and cloud data services is essential.
- Other info: Engage in diverse projects, continuous learning, and a vibrant social calendar.
The predicted salary is between 28800 - 48000 £ per year.
We are DataOps advocates and use software engineering best practices to build scalable and re-usable data solutions to help clients use their data to gain insights, drive decisions and deliver business value. Clients don’t engage BJSS to do the straightforward things; they ask us to help on their biggest challenges which means we get to work with a wide range of tools and technologies and there are always new things to learn.
BJSS data engineers are specialist software engineers that build, optimise and maintain data applications, systems and services. This role combines the discipline of software engineering with the knowledge and experience of building data solutions in order to deliver business value. As a BJSS data engineer, you’ll help our clients deploy data pipelines and processes in a production-safe manner, using the latest technologies and with a DataOps culture. You’ll work in a fast-moving, agile environment, within multi-disciplinary teams of highly skilled consultants, delivering modern data platforms into large organisations.
You can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc.
About You
You’re an engineer at heart and enjoy the challenge of building reliable, efficient data applications, systems, services and platforms. You have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting. You have experience in writing well-tested object-oriented Python. You have experience with using CI/CD tooling to analyse, build, test and deploy your code. You have a good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a workflow. You have experience in writing complex queries against relational and non-relational data stores.
Some of the Perks
- Flexible benefits allowance – you choose how to spend your allowance (additional pension contributions, healthcare, dental and more)
- Industry leading health and wellbeing plan - we partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support, and other Life Assurance (4 x annual salary)
- 25 days annual leave plus bank holidays
- Hybrid working - Our roles are not fully remote as we take pride in the tight-knit communities we have created at our local offices. But we offer plenty of flexibility and you can split your time between the office, client site and WFH
- Discounts – we have preferred rates from dozens of retail, lifestyle, and utility brands
- An industry-leading referral scheme with no limits on the number of referrals
- Flexible holiday buy/sell option
- Electric vehicle scheme
- Training opportunities and incentives – we support professional certifications across engineering and non-engineering roles, including unlimited access to O’Reilly
- Giving back – the ability to get involved nationally and regionally with partnerships to get people from diverse backgrounds into tech
- You will become part of a squad with people from different areas within the business who will help you grow at BJSS
- We have a busy social calendar that you can choose to join– quarterly town halls/squad nights out/weekends away with families included/office get-togethers
- GymFlex gym membership programme
Data Engineer in Bristol employer: BJSS
Contact Detail:
BJSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local tech events. You never know who might have a lead on your dream Data Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud services. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each application. Research the company, understand their challenges, and highlight how your experience with tools like AWS or Databricks can help them succeed.
✨Tip Number 4
Use our website to apply! We’ve got a streamlined process that makes it easy for you to showcase your skills and experience. Plus, it shows you’re serious about joining our team at BJSS!
We think you need these skills to ace Data Engineer in Bristol
Some tips for your application 🫡
Show Your Passion for Data Engineering: When writing your application, let us see your enthusiasm for data engineering! Share specific examples of projects you've worked on and the technologies you've used. This helps us understand your journey and how you can contribute to our team.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight relevant skills and experiences that align with our job description. This shows us that you’ve done your homework and are genuinely interested in joining StudySmarter.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. We appreciate a well-structured application that gets straight to the good stuff!
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 gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at BJSS
✨Know Your Tech Stack
Familiarise yourself with the tools and technologies mentioned in the job description, like AWS, Azure, and Databricks. Be ready to discuss your experience with these platforms and how you've used them in past projects.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities, especially in Python. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Understand DataOps Culture
Research what DataOps means and how it applies to data engineering. Be prepared to discuss how you can contribute to a DataOps culture and improve data pipeline efficiency in a production-safe manner.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and challenges. This shows your genuine interest in the role and helps you understand how you can add value to their team.
