Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement scalable data lake solutions using Elasticsearch for efficient data management.
- Company: Join a forward-thinking tech company focused on innovative data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of data technology and make a significant impact in the industry.
- Qualifications: Experience with data ingestion, Elasticsearch, and collaborative development practices.
- Other info: Dynamic team environment with plenty of room for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Role Specification: Data Lake Developer
Key Responsibilities & Skillset:
-
Data Lake Architecture:
-
Design and implement scalable data lake solutions leveraging Elasticsearch for efficient data storage, indexing, and retrieval.
-
Ensure high availability, performance, and scalability across distributed environments.
-
-
Data Ingestion & Processing:
-
Develop and maintain data ingestion pipelines using tools such as Logstash, Filebeat, or custom ETL frameworks.
-
Handle diverse data types including structured, semi-structured, and unstructured data from multiple sources.
-
-
Search & Query Expertise:
-
Proficient in Elasticsearch Query DSL for building filters, aggregations, and advanced full-text search queries.
-
Optimize search performance and relevance tuning for analytics workloads.
-
-
Cluster Management:
-
Solid understanding of Elasticsearch architecture, including nodes, shards, replicas, and scaling strategies for distributed systems.
-
Experience in configuring and monitoring cluster health and resource utilization.
-
-
Visualization & Analytics:
-
Create insightful dashboards and visualizations for data analytics and system monitoring using Kibana or equivalent tools.
-
-
Version Control & Collaboration:
-
Proficient with Git for source control, branching strategies, and collaborative development workflows.
-
Data Lake Developer employer: Flint UK Technology Services
Contact Detail:
Flint UK Technology Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lake Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the data lake and Elasticsearch communities. Attend meetups, webinars, or even online forums. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data ingestion pipelines or any cool dashboards you've built with Kibana. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Practice makes perfect! Brush up on your Elasticsearch Query DSL skills. Try building some sample queries or optimising search performance for hypothetical scenarios. It’ll give you confidence during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Data Lake Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Lake Developer role. Highlight your experience with Elasticsearch, data ingestion pipelines, and any relevant projects. 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 passionate about data lakes and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a personal project or something from a previous job, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Flint UK Technology Services
✨Know Your Data Lake Architecture
Before the interview, brush up on your knowledge of data lake architecture, especially focusing on Elasticsearch. Be ready to discuss how you would design and implement scalable solutions, and think about examples from your past experience that demonstrate your expertise.
✨Showcase Your Data Ingestion Skills
Prepare to talk about your experience with data ingestion pipelines. Familiarise yourself with tools like Logstash and Filebeat, and be ready to explain how you've handled different data types in previous projects. Real-world examples will make your answers stand out!
✨Master Elasticsearch Query DSL
Make sure you’re comfortable with Elasticsearch Query DSL. Practice building filters and aggregations, and be prepared to discuss how you optimise search performance. You might even want to bring a few queries you've worked on to illustrate your points.
✨Demonstrate Collaboration with Git
Since version control is key, be ready to discuss your experience with Git. Talk about your branching strategies and how you’ve collaborated with teams on development workflows. Sharing specific scenarios where you resolved conflicts or improved processes can really impress.