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- Tasks: Build reliable data pipelines for cutting-edge genAI products and collaborate on innovative solutions.
- Company: Join a dynamic tech company focused on data and AI with a collaborative culture.
- Benefits: Salary up to £65,000, healthcare scheme, generous holiday, and enhanced parental leave.
- Why this job: Make an impact in the exciting world of real-time data engineering and AI.
- Qualifications: Mid-level data engineering experience, strong Python skills, and familiarity with real-time data streaming.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
The predicted salary is between 39000 - 65000 £ per year.
We are looking for a skilled mid-Level Data Engineer with a passion for building reliable and scalable data pipelines to power cutting-edge genAI products. The ideal person would have strong commercial experience in real-time data engineering and cloud technologies, and be able to apply this expertise to business problems to generate value. We currently work in an AWS, Snowflake, dbt, Looker, Python, Kinesis and Airflow stack and are building out our real-time data streaming capabilities using Kafka. You should be comfortable with these or comparable technologies.
As an individual contributor, you will take ownership of well-defined projects, collaborate with senior colleagues on architectural decisions, and contribute to improving data engineering standards, documentation, and team practice. The successful candidate will join our cross functional development teams and actively participate in our agile delivery process. Our dynamic Data & AI team will also support you, and you will benefit from talking data with our other data engineers, data scientists, and ML and analytics engineers.
Responsibilities
- Contribute to our data engineering roadmap.
- Collaborate with senior data engineers on data architecture plans.
- Managing Kafka in production.
- Collaborating with cross-functional teams to develop and implement robust, scalable solutions.
- Supporting the elicitation and development of technical requirements.
- Building, maintaining and improving data pipelines and self-service tooling to provide clean, efficient results.
- Develop automated tests and monitoring to ensure data quality and data pipeline reliability.
- Implement best practices in data governance through documentation, observability and controls.
- Using version control and contributing to code reviews.
- Supporting the adoption of tools and best practices across the team.
- Mentoring junior colleagues where appropriate.
Essential Qualifications
- Solid commercial experience in a mid-level data engineering role.
- Excellent production-grade Python skills.
- Previous experience with real-time data streaming platforms such as Kafka/Confluent/Google Cloud Pub/Sub.
- Experience handling and validating real-time data.
- Experience with stream processing frameworks such as Faust/Flink/Kafka Streams, or similar.
- Comfortable with database technologies such as Snowflake/PostgreSQL and NoSQL technologies such as Elasticsearch/MongoDB/Redis or similar.
- Proficient with ELT pipelines and the full data lifecycle, including managing data pipelines over time.
- Good communication skills and the ability to collaborate effectively with engineers, product managers and other internal stakeholders.
Desirable
- An understanding of JavaScript/TypeScript.
- An understanding of Docker.
- Experience with Terraform.
- Experience with EKS/Kubernetes.
- Experience developing APIs.
Benefits
- Salary up to £65,000.
- Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care).
- Life Insurance scheme.
- 25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years).
- Employee Assistance Programme (confidential counselling).
- Gogeta nursery salary sacrifice scheme (save up to 40% per year).
- Enhanced parental leave and pay including 26 weeks' full maternity pay and 8 weeks' paternity leave.
Data Engineer in Eastbourne employer: Humara
Contact Detail:
Humara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Eastbourne
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Kafka, or Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering questions and be ready to discuss how you've tackled real-time data challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it shows you're genuinely interested in being part of our dynamic Data & AI crew.
We think you need these skills to ace Data Engineer in Eastbourne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with the technologies we use, like Python, Kafka, and AWS. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Mention specific experiences that relate to the role and show us why you’re excited about working with us.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled real-world data challenges. We love seeing how you’ve applied your skills to solve problems, especially in a collaborative environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Humara
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like AWS, Snowflake, and Kafka. Brush up on your Python skills and be ready to discuss how you've used these tools in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data engineering challenges in the past. Think about specific projects where you built or improved data pipelines and be ready to explain your thought process and the impact of your work.
✨Collaborate and Communicate
Since this role involves working with cross-functional teams, practice articulating your ideas clearly. Be prepared to discuss how you’ve collaborated with others, especially in agile environments, and how you handle feedback during code reviews.
✨Emphasise Continuous Learning
Highlight your commitment to staying updated with industry trends and best practices. Mention any recent courses or certifications related to data engineering, cloud technologies, or data governance that demonstrate your proactive approach to professional development.
