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- Tasks: Develop cutting-edge software solutions and build dashboards for data-driven decision making.
- Company: Apex Systems is a top-tier Data and Digital Transformation firm focused on delivering real business value.
- Benefits: Enjoy competitive pay, PTO, pensions, and National Insurance contributions with potential contract extensions.
- Why this job: Join a dynamic team solving complex problems while gaining hands-on experience in a fast-paced environment.
- Qualifications: Strong SQL and Python skills, AWS knowledge, and experience with data modelling and visualisation tools required.
- Other info: This is a 6-month contract role with a standard day shift, perfect for tech-savvy individuals.
Overview:
Job Title: Business Intelligence Engineer
Location: London
Shift: Standard day shift, 40 hours per week Monday-Friday
Duration: 6 months contract (extensions possible)
Daily Rate (depending on experience level) 43.75 to 50 pounds per hour – Inside IR35
Agency Contract with Benefits (PTO, Pensions, National Insurance contribution)
Who we are:
Apex Systems is a leading Data and Digital Transformation professional services organization focused on providing solutions with real business value. We provide a customer-focused approach to building authentic partnerships with our clients with objective counsel from concept to deployment for a consistent voice through the dynamic IT environment.
What we look for:
Join our talented team of technologists who work with our clients to solve their most challenging software and application problems. Our mission is providing Insights that Inspire. In this role, you will work among engineering teams to develop cutting-edge software solutions.
Principal Duties and Responsibilities:
– Build End to End dashboarding solutions to optimize EU CF Operations using AWS
– Data source exploration, data warehousing expansion, horizontal datasets for downstream consumption
– Work with customers to build Dashboards with the right KPIs, Metrics for decision making
– Data Quality checks, ETL/ELT processes, automation
Technical Requirements:
– Strong proficiency in SQL and Python programming
– Extensive experience with data modeling and data warehouse concepts
– Advanced knowledge of AWS data services, including: S3, Redshift, AWS Glue, AWS Lambda
– Experience with Infrastructure as Code using AWS CDK
– Proficiency in ETL/ELT processes and best practices
– Experience with data visualization tools (Quicksight)
Required Skills:
– Strong analytical and problem-solving abilities
– Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2)
– Experience with agile development methodologies
– Strong communication skills and ability to work with cross-functional teams
– Background in data governance and security best practices
Preferred Qualifications:
– Master\’s degree in Computer Science, Information Systems, or related field
– AWS certifications (Solutions Architect, Data Analytics)
– Experience with real-time data processing
– Experience with version control systems (Git)
Business Intelligence Engineer employer: Apex Systems
Contact Detail:
Apex Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer
✨Tip Number 1
Familiarise yourself with AWS data services, especially S3, Redshift, and Glue. Being able to discuss specific projects where you've used these tools will show your hands-on experience and understanding of the technologies we use.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on a small project or contributing to open-source projects that involve data manipulation and analysis to demonstrate your proficiency.
✨Tip Number 3
Prepare to discuss your experience with ETL/ELT processes and data quality checks. Be ready to share examples of how you've implemented these processes in previous roles, as this will highlight your practical knowledge.
✨Tip Number 4
Showcase your ability to work in cross-functional teams by preparing examples of past collaborations. Highlighting your communication skills and teamwork will be key, as we value a collaborative approach in our projects.
We think you need these skills to ace Business Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and AWS data services. Use specific examples from your past work that demonstrate your proficiency in data modeling and ETL processes.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in building dashboard solutions and working with cross-functional teams.
Showcase Relevant Projects: If you have worked on projects involving data visualization tools like Quicksight or have experience with Infrastructure as Code using AWS CDK, be sure to include these in your application. Highlighting relevant projects can set you apart.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Business Intelligence Engineer.
How to prepare for a job interview at Apex Systems
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and Python during the interview. Be prepared to discuss specific projects where you've used these skills, especially in relation to data modelling and AWS services.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. Discuss your analytical approach and how you ensure data quality through ETL/ELT processes.
✨Understand the Company’s Mission
Familiarise yourself with Apex Systems' focus on providing insights that inspire. Be ready to explain how your experience aligns with their mission and how you can contribute to building authentic partnerships with clients.
✨Prepare for Behavioural Questions
Expect questions about your experience working in cross-functional teams and using agile methodologies. Think of specific instances where your communication skills made a difference in project outcomes.
