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- Tasks: Design and implement data pipelines for a cutting-edge cloud platform.
- Company: Join a leading inclusive jobs board focused on innovation.
- Benefits: Competitive salary, remote work, and exclusive access to AWS resources.
- Why this job: Make an impact by optimising data processes and collaborating with talented teams.
- Qualifications: Experience with Azure data tools and strong SQL skills required.
- Other info: Work in a dynamic remote environment with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
Senior Data Engineer
Department: Services
Employment Type: Permanent
Location: Remote, UK
Description
We are seeking a highly skilled Senior Data Engineer to join our team and play a pivotal role in designing, implementing, and managing new data technology infrastructure. You will be responsible for building and maintaining a scalable and robust cloud-based platform that consolidates existing legacy data services. The platform will enable efficient data management, automation of processes, and provide high-quality data services to our users and tooling.
The role is 100% remote.
Key Responsibilities
- Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
- Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure.
- Develop data models and schemas to support efficient data storage and retrieval.
- Implement data quality and validation processes to ensure the accuracy and consistency of data.
- Optimize data processes and queries for performance and scalability.
- Collaborate with business stakeholders to understand their data requirements and provide insights and solutions for data-driven decision-making.
- Work closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models.
- Implement data governance and security controls to ensure data privacy and compliance with regulations.
- Stay updated with the latest data technologies and trends and make recommendations for technology adoption and improvements.
Skills, Knowledge and Expertise
- Excellent understanding of Azure data tools, especially Databricks
- Proven experience as a Data Engineer, working with Azure data services.
- Strong understanding of data modeling concepts and relational and non-relational databases.
- Proficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks).
- Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage).
- Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus.
- Knowledge of data governance and data security best practices.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills to work effectively within a team environment.
- Experience with Agile methodologies is a plus.
- Comfortable problem solving alone as well as part of a team.
- Confident reaching out to stakeholders and colleagues in order to solve problems and understand issues.
- Happy in a remote working environment.
- Keen interest in new technologies and learning about them.
Benefits
- Competitive salary and compensation package.
- Exclusive access to AWS & Databricks certifications, training, and partner tools.
- Remote work with regular team socials.
- Work with a highly experienced, motivated team of experts in Cloud, Big Data and Machine Learning.
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Senior Data Engineer employer: Nasstar
Contact Detail:
Nasstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or other platforms. Let them know you're on the hunt for a Senior Data Engineer role. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure tools like Databricks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges. Confidence is key, so get comfortable talking about your experience!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. So, get clicking!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure data tools and any relevant projects you've worked on. We want to see how your skills align with 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 engineering and how you can contribute to our team. Don't forget to mention your familiarity with data governance and security best practices.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially in a remote setting.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Nasstar
✨Know Your Data Tools
Make sure you brush up on your knowledge of Azure data tools, especially Databricks. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role you're interviewing for.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, particularly in data engineering contexts. Think about challenges you've faced with data pipelines or ETL processes and how you overcame them.
✨Understand the Business Needs
Familiarise yourself with the company's business model and how data plays a role in decision-making. Be prepared to discuss how you can provide insights and solutions that align with their goals.
✨Stay Updated on Trends
Demonstrate your passion for data technologies by discussing recent trends or tools you've learned about. This shows that you're proactive and eager to bring new ideas to the team.
