At a Glance
- Tasks: Lead data engineering projects and mentor tech professionals in an agile team.
- Company: Join a forward-thinking tech company focused on digital delivery.
- Benefits: Competitive salary, flexible working, training budget, and social events.
- Other info: Enjoy a supportive environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on projects that improve lives while growing your career.
- Qualifications: Proven leadership in data architecture and hands-on technical project delivery.
The predicted salary is between 90000 - 110000 £ per year.
Bristol / Hybrid (2 days per week onsite)
£90,000 - £110,000 per annum depending on experience
Primus Connect are representing a tech company focused on accelerating digital delivery.
About the Role
Working within an agile development team, the Principal Data Consultant will be responsible for delivering client data engineering projects, enhancing data engineering capacities, fostering the growth of their technology professionals, and shaping the approach to data, both internally and for their clients. The Principal Data Consultant holds the highest position for data expertise in the team. While not directly responsible for managerial roles, you will serve as a leader and expert in the field, actively participating in coaching and mentoring. Additionally, you will be contributing to broader operational and strategic responsibilities.
Education and Experience
As the Principal Data Consultant, you will demonstrate leadership experience with teams and problem-solving on an enterprise scale within the realms of Data Architecture, Science, or Analytics. Proficiency in hands-on technical project delivery for client-facing data initiatives, spanning the entire Software Development Life Cycle (SDLC) from design through migration, integration, and live service, all within a multi-vendor environment.
- Essential skills include expertise in Python and SQL, with knowledge of R and Scala as advantageous.
- Strong proficiency in cloud-native data engineering, encompassing Azure (e.g., CosmosDB, DataFactory, DataWarehouse, SQL DB, Snowflake, DataBricks).
- Experience in applying AI/ML in data engineering is a valuable addition.
- Proven track record in quality assurance for data programs, encompassing non-functional testing and performance optimization.
- Hands-on involvement in modern software delivery, including Continuous Integration/Continuous Delivery (CI/CD) and DevOps practices, with a deep understanding and extensive history of delivering complex data solutions using Agile methodologies like Scrum and SAFe.
- A solid grasp of industry best practices related to standards, quality, and continuous improvement in the field of Data Engineering.
- Proficiency in handling large-scale enterprise batch and real-time processing from diverse data sources.
- Experience in designing and building scalable enterprise data architectures.
Why join?
- Opportunities to engage in projects for prominent clients and the chance to contribute to impactful work that positively influences people's lives.
- A "Blended Working" approach, granting you the flexibility to work from various locations, including your home, your local office, client sites.
- A dedicated career scrum team is in place to support your professional growth, helping you achieve your career objectives and acquire the necessary skills for personal development.
- An annual budget allocated for training and skill enhancement, which includes designated days off, allowing you to focus on learning without sacrificing your free time.
- Enjoy monthly and quarterly team social events, funded by us, spanning from informal after-work gatherings to exciting driving experience days with your fellow team members.
- A nurturing and inclusive environment where you can be your authentic self and take on challenges with confidence.
What's on offer?
- £90,000 - £110,000 salary
- 26 days holiday allowance + bank holidays
- 13 days per year for innovation or upskilling
- 2 days per year for volunteering
- Share scheme
- A £1000 flexi-fund to use on a personalised list of benefits such as Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan
- PLUS many more
Apply
To apply for the Principal Data Consultant role, please click apply.
Principal Data Consultant in Bristol employer: Primus Connect
Join a dynamic and innovative company that prioritises collaboration and employee growth, making it an excellent employer for a Data Engineering Manager. With a strong focus on mentorship, you will have the opportunity to lead a growing team while working in a vibrant office environment in central London/Guildford, complete with a free onsite restaurant and gym. This role not only allows you to shape impactful data platforms but also fosters a culture of rapid delivery and teamwork, ensuring your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Consultant in Bristol
✨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 Primus Connect!
✨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 Principal Data Consultant at Primus Connect.
✨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 Primus Connect.
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We think you need these skills to ace Principal Data Consultant in Bristol
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 Primus Connect, 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 Primus Connect. 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 Primus Connect
✨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 Primus Connect!
✨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.
