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- Tasks: Build scalable data pipelines and ensure data quality for impactful projects.
- Company: Fast-growing tech company based in Central London, mainly remote.
- Benefits: Competitive salary, remote work flexibility, and opportunities for career advancement.
- Why this job: Join a dynamic team and influence key data infrastructure decisions.
- Qualifications: Expertise in Python, SQL, and experience with AWS data stack required.
- Other info: Mentorship opportunities and collaboration with teams across Europe.
The predicted salary is between 36000 - 60000 £ per year.
Senior Data Engineer (SQL, RDBMS, Python, AWS) required to work for a fast growing and exciting business based in Central London. However, this role is mainly remote.
We need an experienced Data Developer who is a good people person, working with client facing teams outside of Technology, and also mentoring more junior members of the team across Europe. As the company is fast growing, there will be an opportunity to move upwards at certain points throughout your journey.
Responsibilities- Collaborate with product managers and business stakeholders to understand complex business requirements to translate business needs into well-designed and maintainable solutions.
- Ensure data quality and reliability by implementing robust data quality checks, monitoring, and alerting to ensure the accuracy and timeliness of all data pipelines.
- Create data governance policies and develop data models and schemas optimized for analytical workloads.
- Influence the direction for key infrastructure and framework choices for data pipelining and data management.
- Manage complex initiatives by setting project priorities, deadlines, and deliverables.
- Collaborate effectively with distributed team members across multiple time zones, including offshore development teams.
- Proven track record building scalable data pipelines (batch and streaming) in production.
- Expert Python, PySpark, Celery and RabbitMQ skills; deep experience with AWS data stack (Glue, OpenSearch, RDS).
- Expert skills within SQL with experience in both transactional RDBMS systems and distributed systems.
- Hands-on with Lakehouse technologies (Apache Iceberg, S3 Tables, StarRocks).
- Strong grasp of data governance, schema design, and quality frameworks.
- Comfortable leading infrastructure decisions and collaborating across distributed teams.
This is a fantastic opportunity and salary is dependent upon experience. Apply now for more details.
Senior Data Engineer, SQL, RDBMS, Python, Celery, RabbitMQ, Pt Remote employer: Carrington Recruitment Solutions Limited
Contact Detail:
Carrington Recruitment Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, SQL, RDBMS, Python, Celery, RabbitMQ, Pt Remote
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data engineering. We recommend setting up mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your projects! Whether it's on GitHub or a personal website, having a portfolio of your work can really set you apart. It gives potential employers a tangible sense of your skills in SQL, Python, and data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to find roles that match your skills and aspirations. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior Data Engineer, SQL, RDBMS, Python, Celery, RabbitMQ, Pt Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with SQL, Python, and AWS, and don’t forget to mention any mentoring or collaboration you've done with teams.
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 your skills align with our needs. Be sure to mention your experience with data governance and pipeline management.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s building scalable data pipelines or implementing data quality checks, we want to see what you’ve accomplished!
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!
How to prepare for a job interview at Carrington Recruitment Solutions Limited
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and AWS skills before the interview. Be ready to discuss your experience with data pipelines and how you've tackled challenges in previous roles. The more specific examples you can provide, the better!
✨Show Off Your People Skills
Since this role involves working closely with client-facing teams, be prepared to talk about your collaboration experiences. Share stories that highlight your ability to communicate complex technical concepts to non-technical stakeholders and how you've mentored junior team members.
✨Understand the Business Needs
Familiarise yourself with the company's business model and how data plays a role in their success. This will help you demonstrate your ability to translate business requirements into effective data solutions during the interview.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data governance policies, team structure, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
