Junior Cloud Data Engineer in Cambridge

Junior Cloud Data Engineer in Cambridge

Cambridge Full-Time 28800 - 48000 £ / year (est.) No working from home possible
Birketts LLP

At a Glance

  • Tasks: Support the design and development of cloud-based data solutions and optimise data pipelines.
  • Company: Birketts, a top UK law firm with a rich 160-year heritage.
  • Benefits: Flexible working, private healthcare, profit share, and enhanced leave options.
  • Other info: Join a diverse team committed to inclusivity and professional growth.
  • Why this job: Gain hands-on experience with cloud tech and make a real impact in data engineering.
  • Qualifications: Degree in IT or related field, basic cloud knowledge, and problem-solving skills.

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

Birketts is a full service, UK Top 50 law firm. With a heritage spanning 160 years, we have more than 700 lawyers and legal professionals based in Bristol, Cambridge, Chelmsford, Ipswich, London, Norwich and Sevenoaks. We advise businesses, government and public sector organisations and individuals in the UK and internationally across four principal practice groups: Real Estate, Corporate Services, Dispute Resolution and Private Client.

The work you will be doing:

  • As Junior Cloud Data Engineer, you will support the design, development, and maintenance of cloud-based data solutions.
  • You will work closely with senior engineers to build and optimise data pipelines, assist in data integration projects, and contribute to the overall efficiency of our cloud data / Hybrid infrastructure.
  • This role offers a fantastic opportunity to gain hands-on experience with cloud platforms, databases, and data processing technologies while developing expertise in modern data engineering practices.
  • Assist in designing and developing cloud-based data pipelines to collect, process, and store data efficiently.
  • Support ETL/ELT processes, ensuring data is properly structured and integrated across various systems.
  • Work with SQL databases to query, clean, and transform data for analytics and reporting.
  • Collaborate with senior engineers to implement cloud data solutions using platforms like Azure, AWS, or Google Cloud.
  • Monitor and maintain data infrastructure, helping to identify and resolve performance issues.
  • Provide 3rd-line support for cloud data-related incidents, troubleshooting and resolving technical issues under guidance.
  • Assist in implementing data security best practices and ensuring compliance with relevant regulations.
  • Document processes, workflows, and best practices to support ongoing knowledge sharing and training.
  • Stay up to date with emerging cloud and data engineering trends and apply learnings to improve existing solutions.

Please note that this job profile is not an exhaustive list of duties but merely an outline of the key components of the role. You may be required by your line manager to take on additional responsibilities when requested.

What we are looking for:

  • A degree in Computer Science, Data Science, Information Technology, or a related field, OR equivalent experience.
  • Basic understanding of cloud platforms (Azure, AWS, or GCP) and a willingness to develop expertise in cloud data engineering.
  • Some experience or academic exposure to SQL, including writing queries and optimising data retrieval.
  • Familiarity with ETL/ELT processes and data integration concepts.
  • Interest in working with big data technologies and cloud-based data warehouses (e.g., Snowflake, Fabric).
  • Strong problem-solving skills and the ability to learn and adapt quickly in a fast-paced environment.
  • Basic programming knowledge (e.g., Python, SQL, or PowerShell) is a plus.
  • Excellent communication skills, with the ability to collaborate effectively with technical and non-technical teams.
  • A proactive, curious mindset, eager to take on new challenges and grow professionally.
  • Ability to work under pressure and meet strict deadlines.
  • Be able to travel as necessary, and perform additional job-related duties as requested.
  • Communicate effectively in both verbal (i.e. day-to-day discussions, team meetings) and written (requirements and design specifications) form, as well as have an overall ability to be clear and concise in all communications.
  • Positive and enthusiastic approach to teamwork.
  • Self-motivated, ability to use initiative and provide pro-active support to users.
  • Commitment to ongoing learning and development.

At Birketts, our culture is driven by ambition and a commitment to positively impact all the communities we serve. We are dedicated to the success, development, and wellbeing of our colleagues, helping them achieve their goals and seize the opportunities that come with our growth.

Alongside a flexible and inclusive work environment, we offer the following core benefits:

  • Long Service holiday award – 1 extra week every 10 years continuous service
  • Private Healthcare with BUPA (offered after probation is passed)
  • Staff Profit Share and Individual Performance Bonus Scheme
  • Salary sacrifice (Pensions, Staff Profit Share)
  • Life Assurance – 4 x salary / Permanent Health Insurance
  • Paid CSR Day
  • Enhanced Maternity/Paternity Leave
  • Subsidised gym membership
  • Electric car scheme
  • Agile/Hybrid Working Policy
  • Dress for your Day Policy

Birketts is a flexible business which has embraced a hybrid working model where our colleagues enjoy a mix of home and office working. We welcome applications from people looking for flexible, agile, and part-time roles and we are happy to explore your preferred working patterns as part of your application.

Inclusivity and Culture:

Birketts is committed to being an Equal Opportunity Employer. Our policy is unequivocal: we do not tolerate discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage or civil partnership, pregnancy or maternity, or sexual orientation. We pride ourselves on being an inclusive organisation that actively promotes equality of opportunity for all, valuing the right mix of talent, skills, and potential. We welcome applications from a diverse range of candidates, and selection for roles is based solely on individual merit.

Junior Cloud Data Engineer in Cambridge employer: Birketts LLP

Birketts LLP is an excellent employer, offering a dynamic work environment in Bristol where you can lead and shape a new Residential Real Estate team. With a strong emphasis on client service and business development, employees benefit from flexible hybrid working arrangements, generous holiday allowances, private healthcare, and a robust pension scheme, all fostering a culture of growth and collaboration.

Birketts LLP

Contact Details:

Birketts LLP Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Cloud Data Engineer in Cambridge

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Birketts LLP!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Cloud Data Engineer at Birketts LLP.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Birketts LLP.

Apply Directly through Our Website

When you find a suitable opening like Junior Cloud Data Engineer at Birketts LLP, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Junior Cloud Data Engineer in Cambridge

Cloud Platforms (Azure, AWS, GCP)
SQL
ETL/ELT Processes
Data Integration Concepts
Big Data Technologies
Data Warehousing (e.g., Snowflake, Fabric)
Problem-Solving Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Birketts LLP, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Birketts LLP. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Birketts LLP

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Birketts LLP!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.