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- Tasks: Build and optimise data applications using cutting-edge technologies to solve complex client 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 a real impact by deploying modern data solutions in a fast-paced, agile environment.
- Qualifications: Experience in Python, CI/CD tooling, and cloud data services is essential.
- Other info: Be part of a supportive community with excellent career growth and social opportunities.
The predicted salary is between 36000 - 60000 £ 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
Senior Data Engineer in London employer: BJSS
Contact Detail:
BJSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud services. This is your chance to demonstrate your coding prowess and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your experience with tools like AWS, Azure, and Python. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. Plus, it gives you a better chance to stand out in the crowd.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your coding best practices, experience with cloud services, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our DataOps culture. Share specific examples of challenges you've tackled in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your experience with tools like Python, CI/CD, and cloud platforms. We love seeing candidates who can demonstrate their technical prowess through real-world applications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at BJSS
✨Know Your Tech Stack
Make sure you’re familiar with the tools and technologies mentioned in the job description, like AWS, Azure, and Databricks. Brush up on your knowledge of data pipelines and cloud services, as you might be asked to discuss how you've used them in past projects.
✨Showcase Your Coding Skills
Be prepared to demonstrate your coding abilities, especially in Python. You might face technical questions or even a coding challenge, so practice writing clean, efficient code and be ready to explain your thought process behind design choices.
✨Understand DataOps Culture
Familiarise yourself with DataOps principles and how they apply to building scalable data solutions. Be ready to discuss how you’ve implemented CI/CD practices in your previous roles and how they can enhance data engineering workflows.
✨Prepare for Behavioural Questions
Expect questions about teamwork and problem-solving, especially since you'll be working in multi-disciplinary teams. Think of examples from your past experiences that highlight your ability to collaborate and tackle challenges effectively.
