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For Companies At a Glance
- Tasks: Define and implement data strategies, develop MI & BI reports, and mentor junior team members.
- Company: Join a forward-thinking company focused on data innovation and collaboration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by shaping data strategies and working with cutting-edge technologies.
- Qualifications: 4 years of experience in data engineering, strong SQL skills, and a collaborative mindset.
- Other info: Dynamic team environment with a focus on learning and using new technologies.
The predicted salary is between 43200 - 72000 £ per year.
Your Role
- Work closely with the CTO & the Data and Reporting Manager to define and implement the short & long-term strategies around Data & MI reports.
- Communicate effectively with internal customers and third parties.
- Analyse both large and complex reporting requirements.
- Collaborate effectively with Product Owners, Developers, Designers, DevOps Engineers, and the wider business.
- Hands-on development of MI & BI reports for the various business units.
- Work with four other Data Engineers / Reporting Developers and the Data and Reporting Manager.
- Support, mentor, and help the more junior members of the team.
- Test and cross-validate reports for accuracy and integrity.
- Perform regular technical reviews of your team's work.
- Analyse and recommend enhancements to the MI reports processes and standards.
- Assist with resolution of support issues.
Requirements
- 4 years of experience as a Data Engineer or in a similar role.
- Extensive experience with SQL, Amazon Redshift, and ideally MySQL.
- Extensive experience with visualisation tools, ideally with Amazon QuickSight.
- Experience with AWS Glue and the ability to write Python scripts (e.g. for ETL).
- Excellent data modelling skills.
- Experience developing ETL & ELT processes from multiple data sources & types.
- Experience in dashboard design and development.
- Experience working in a collaborative Agile environment.
- Mentoring skills for the less experienced members of the team.
- Practical experience with JIRA & Confluence.
- Excellent communication skills.
- Self-motivated, proactive, independent thinker with a can-do mentality.
- Team player.
- Inquisitive with a desire to learn and use new technologies.
- Knowledge of SAP Business Objects would be helpful but not necessary; currently in use but in the process of migrating to Redshift & QuickSight.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
Employment Type: Full Time
Experience: 4 years
Vacancy: 1
Senior Data Engineer in Watford employer: Enra Specialist Finance
Contact Detail:
Enra Specialist Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Watford
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data game. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your best work, whether it’s dashboards, reports, or any cool projects you've tackled. This will give potential employers a taste of what you bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you tackle complex problems. Remember, they want to see how you think, not just what you know!
✨Apply Through Us!
Make sure to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it gives us a chance to see your application in the best light possible!
We think you need these skills to ace Senior Data Engineer in Watford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Amazon Redshift, and any visualisation tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our team. Mention your hands-on experience with MI & BI reports and how you’ve collaborated in Agile environments. Let us know your passion for data!
Show Off Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work with ETL processes, dashboard designs, or any mentoring experiences. We love seeing real examples of your skills in action.
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 get all the updates directly from us. Plus, it shows you're keen on joining StudySmarter!
How to prepare for a job interview at Enra Specialist Finance
✨Know Your Data Tools
Make sure you brush up on your SQL, Amazon Redshift, and visualisation tools like Amazon QuickSight. Be ready to discuss your hands-on experience with these technologies and how you've used them in past projects. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various teams, prepare examples of how you've successfully collaborated with Product Owners, Developers, and Designers in the past. Highlight any Agile methodologies you've used and how they contributed to project success.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about ETL processes, data modelling, and report accuracy. Brush up on your knowledge of AWS Glue and Python scripting, as well as any relevant experiences you've had with dashboard design and development.
✨Demonstrate Mentoring Experience
As mentoring is a key part of this role, think of specific instances where you've supported or guided junior team members. Be ready to discuss your approach to mentoring and how it has positively impacted your team’s performance.
