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- Tasks: Analyse data processing and ensure quality for innovative services.
- Company: Join Fifty5Blue, a diverse and inclusive tech company in London.
- Benefits: Flexible hybrid work, health support, and a focus on wellbeing.
- Other info: Great career growth opportunities in a supportive environment.
- Why this job: Make an impact by ensuring data quality in exciting projects.
- Qualifications: Familiarity with IT, SQL, and problem-solving skills required.
The predicted salary is between 45000 - 55000 £ per year.
This is a full-time permanent position, based in our London office. We operate on a hybrid working arrangement and require a minimum of 2 days in the office. We welcome all applications from those with the legal right to live and work permanently in the UK, without requiring VISA sponsorship now or in the future.
About The Project / Role
Assistance with and assessment of system processing, configuration and data inputs and outputs for new and early stage services.
Role Description
In a challenging environment it is essential that new and existing services process and deliver reliable and consistent information. The role requires developing familiarity with configuration options, data inputs, processing and the expectations of data consumers within the pipeline including and in particular, output. The Data Analyst will work with other team members on specified service deliveries and report to the appropriate Work Stream lead. Data assessments will be conducted using guidelines developed by both the analyst team and the Data Science group.
Tasks and Responsibilities
- Understand overall architecture and function of Kantar Audience Measurement systems
- Develop functional knowledge of individual components
- Review and assess data inputs and outputs against service requirements
- Understand component and system configuration requirements for a service
- Contribute to developing tools and processes for checking and measuring service correctness
- Analyse and identify problems and assist in understanding causes and fixes
Profile / Skills
The role will require a degree of technical knowledge to allow navigation of systems and assessments using IT tools.
Essential
- Familiarity with IT environments and data processing
- Ability to identify, describe and communicate issues
- Database and SQL knowledge
- Structured approach to problem solving and analysing information
- Python or similar skills (basic/intermediate)
Advantageous
- Experience with cloud based systems and processing – in particular Azure
- Experience with examining and understanding data processing issues (e.g. testing)
- Knowledge of Linux systems, shell scripting and command line and file based systems
- Knowledge of Cloud based environments and processing (e.g. Azure), storage explorer etc.
- Experience with media research – particularly TV, Internet or Radio audience measurement.
We pride ourselves on understanding people, and what makes us think and act the way we do. And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Fifty5Blue.
Data Engineer employer: Fifty5Blue
Contact Detail:
Fifty5Blue Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially around data processing and analytics. Be ready to discuss how your skills in SQL, Python, or cloud systems can add value to their team.
✨Tip Number 3
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your data engineering abilities. This gives potential employers a tangible look at what you can do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant skills like SQL, Python, and any experience with cloud systems. We want to see how your background fits with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention any projects or experiences that demonstrate your familiarity with IT environments, data processing, and problem-solving abilities. We’re keen to see what you can bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Fifty5Blue
✨Know Your Data Inside Out
Before the interview, make sure you understand the data processing systems and architecture mentioned in the job description. Brush up on your SQL and Python skills, as well as any cloud-based systems like Azure. Being able to discuss these topics confidently will show that you're serious about the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of examples from your past experiences where you identified issues and implemented solutions, especially related to data processing or system configurations. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Familiarise Yourself with the Company Culture
Research Fifty5Blue’s values and culture. They emphasise inclusivity and wellbeing, so be ready to discuss how you align with these principles. Showing that you understand and appreciate their approach can set you apart from other candidates.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of your interview. Inquire about the team dynamics, ongoing projects, or how they measure success in the role. This not only shows your interest but also helps you gauge if the company is the right fit for you.