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For Companies At a Glance
- Tasks: Build and optimise data applications, systems, and services for clients.
- Company: BJSS is a leading tech consultancy focused on innovative data solutions.
- Benefits: Enjoy flexible benefits, industry-leading health plans, hybrid working, and discounts.
- Why this job: Work with cutting-edge technologies in a collaborative, agile environment while tackling exciting challenges.
- Qualifications: Experience in Python, CI/CD tooling, and cloud data services is essential.
- Other info: Join a vibrant community with social events and opportunities for professional growth.
The predicted salary is between 28800 - 42000 ÂŁ per year.
About the Role
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 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
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Data Engineer employer: BJSS
Contact Detail:
BJSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as AWS, Azure, GCP, and data services like Databricks and Kafka. Having hands-on experience or projects showcasing these skills can set you apart.
✨Tip Number 2
Engage with the DataOps community online. Join forums, attend webinars, or participate in discussions on platforms like LinkedIn. This not only helps you learn but also shows your enthusiasm for the field.
✨Tip Number 3
Consider contributing to open-source projects related to data engineering. This demonstrates your coding skills and commitment to best practices, which are crucial for a role at BJSS.
✨Tip Number 4
Network with current or former BJSS employees if possible. They can provide insights into the company culture and expectations, which can be invaluable during interviews.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Data Engineer at BJSS. Familiarise yourself with the tools and technologies mentioned in the job description, such as AWS, Azure, and Python.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your knowledge of coding best practices, data storage design choices, and any experience with CI/CD tooling.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of DataOps culture. Mention specific projects or experiences that demonstrate your ability to build reliable and efficient data applications.
Showcase Your Technical Skills: In your application, provide examples of your experience with writing complex queries, using parallel computing, and deploying data pipelines. Highlight any relevant certifications or training that support your qualifications for the role.
How to prepare for a job interview at BJSS
✨Showcase Your Technical Skills
Be prepared to discuss your experience with coding best practices, particularly in Python. Highlight any projects where you've implemented data pipelines or used cloud services like AWS, Azure, or GCP.
✨Demonstrate Problem-Solving Abilities
Since BJSS tackles complex challenges, be ready to share examples of how you've approached difficult problems in past roles. Discuss the tools and methodologies you used to find solutions.
✨Familiarise Yourself with DataOps Culture
Understand the principles of DataOps and be ready to explain how you would apply them in a real-world scenario. This shows that you align with their values and can contribute to their agile environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the technologies they use. This demonstrates your genuine interest in the role and helps you assess if it's the right fit for you.
