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- Tasks: Architect and build robust data systems while enhancing data quality for analytics.
- Company: Join BI:PROCSI, a rapidly expanding company with a focus on innovation.
- Benefits: Enjoy a fantastic culture, continuous learning, and a comprehensive benefits package.
- Other info: Work-life balance and career advancement opportunities await you!
- Why this job: Make an impact with cutting-edge technology in a remote-first environment.
- Qualifications: Strong SQL skills, experience with cloud technologies, and familiarity with AI systems.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Location: Mostly Remote, with a requirement to work from London once every two weeks. Must have a Right to Work in the UK.
Overview: As a Senior Data Engineer at BI:PROCSI, you'll play a crucial role in storing, processing, modelling, and applying data science to make data and insights available for analytics and business intelligence (BI) systems. This position offers a unique opportunity to work with cuttingâedge products and worldâclass clients in a remoteâfirst environment.
Key Responsibilities:
- Architect and build robust data systems and pipelines
- Analyse, organise, and prepare raw data for modelling and analytics
- Evaluate business needs and objectives
- Combine raw information from diverse sources
- Enhance data quality and reliability
- Identify opportunities for data acquisition
- Develop analytical reports using data science techniques
Required Skills:
- Strong data modelling and SQL/database design skills
- Proficiency in ETL/ELT processes
- Expertâlevel SQL and Python programming
- Understanding of different data modelling techniques (e.g. Kimball, star and snowflake schemas)
- Cloud and Big Data Technologies
- Familiarity with cloud data warehouses (AWS, Azure, GCP, or Snowflake)
- Experience designing and building Agentic AI systems using models such as Claude, OpenAI (GPT), or similar LLM frameworks
- Experience deploying AI solutions into production environments with scalability and reliability in mind
- Knowledge of CI/CD pipelines for deploying AI/ML or data products
- Experience using tools such as JIRA or Asana for project tracking and delivery
- Familiarity with data pipeline and integration tools (e.g. Airflow, Fivetran, Matillion, or similar)
- Comfortable working within Agile delivery environments
Why Choose BI:PROCSI?
- BI:PROCSI offers a unique work environment focused on innovation and personal growth.
- A phenomenal company culture that values diversity and workâlife balance.
- Opportunities for continuous learning and career advancement.
- Comprehensive benefits package, including Vitality Health and Nest Pension.
Join our team of passionate innovators and contribute to our mission of being the benchmark for excellence and quality of service in everything we do.
Senior Data Engineer employer: BI:PROCSI
Contact Detail:
BI:PROCSI Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Engineer
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, Python, and cloud technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
â¨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this will demonstrate your expertise and analytical skills.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our innovative team at BI:PROCSI.
We think you need these skills to ace Senior Data Engineer
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in SQL, Python, and data modelling techniques to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how your previous experiences align with our mission at BI:PROCSI. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any relevant projects, donât hold back! Include links or descriptions of your work with data systems, AI models, or cloud technologies. We love seeing what you can do!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy!
How to prepare for a job interview at BI:PROCSI
â¨Know Your Data Inside Out
Make sure you brush up on your data modelling skills and SQL/database design. Be ready to discuss specific projects where you've built robust data systems or pipelines. This will show that you not only understand the theory but have practical experience too.
â¨Show Off Your Tech Skills
Familiarise yourself with the cloud technologies mentioned in the job description, like AWS, Azure, or GCP. Be prepared to talk about how you've used these tools in past roles, especially in relation to ETL/ELT processes and deploying AI solutions.
â¨Prepare for Scenario Questions
Expect questions that ask you to evaluate business needs or identify opportunities for data acquisition. Think of examples from your experience where you successfully combined raw information from diverse sources to enhance data quality and reliability.
â¨Get Agile Ready
Since the role involves working within Agile delivery environments, be ready to discuss your experience with project tracking tools like JIRA or Asana. Share how you've contributed to team projects and how you adapt to changing requirements.