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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 innovation.
- Benefits: Competitive salary, healthcare scheme, generous holiday, and enhanced parental leave.
- Why this job: Make an impact in the exciting world of real-time data engineering.
- Qualifications: Mid-level data engineering experience with strong Python and real-time data skills.
- Other info: Inclusive workplace encouraging diverse applicants and 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.
- Manage Kafka in production.
- Collaborate with cross-functional teams to develop and implement robust, scalable solutions.
- Support the elicitation and development of technical requirements.
- Build, maintain and improve 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.
- Use version control and contribute to code reviews.
- Support the adoption of tools and best practices across the team.
- Mentor junior colleagues where appropriate.
Requirements
Essential
- 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 Brighton employer: Humara by 15gifts
Contact Detail:
Humara by 15gifts Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Brighton
✨Network Like a Pro
Get out there and connect with folks in the data engineering world! Attend meetups, webinars, or even just chat with people on LinkedIn. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Create a portfolio of projects that highlight your experience with Python, Kafka, and other tools we use. A well-documented GitHub repo can really make you stand out!
✨Ace the Interview
Prepare for technical interviews by brushing up on your problem-solving skills and understanding our tech stack. Practice coding challenges and be ready to discuss how you’ve tackled real-time data problems in the past.
✨Apply Through Our Website
We want to hear from you! If you’re excited about this role, apply through our website. It’s the best way to ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!
We think you need these skills to ace Data Engineer in Brighton
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 any specific experiences that relate to building scalable data pipelines or working in agile environments.
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 technical skills to solve business problems, so don’t hold back on those success stories!
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 by 15gifts
✨Know Your Tech Stack
Make sure you’re well-versed in 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 business problems using data engineering. 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.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to discuss your experience collaborating with others. Highlight any instances where you’ve worked closely with data scientists or product managers to deliver a project.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current challenges, the data engineering roadmap, or how they implement best practices in data governance. This shows your genuine interest in the role and the company.
