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- Tasks: Design and implement data pipelines, ensuring efficient data management and automation.
- Company: Join a forward-thinking tech company with a focus on cloud and big data.
- Benefits: Competitive salary, exclusive training, remote work, and team socials.
- Why this job: Make a real impact in data technology while working with a motivated team.
- Qualifications: Experience with Azure data tools and strong problem-solving skills.
- Other info: Stay updated with the latest technologies in a dynamic remote environment.
The predicted salary is between 60000 - 80000 £ per year.
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.
- 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.
- 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.
Senior Data Engineer in London employer: Nasstar
Contact Detail:
Nasstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Use platforms like LinkedIn to reach out to current employees at companies you're interested in. A friendly message can go a long way in getting your foot in the door.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with projects that highlight your data engineering skills. This gives potential employers a tangible look at what you can do.
✨Ace the Interview
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process clearly, as communication is key in this role. Remember, they want to see how you think!
✨Apply Through Our Website
When you find a job that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our team.
We think you need these skills to ace Senior Data Engineer in London
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, ETL processes, and any relevant projects that showcase your skills in data modelling and cloud infrastructure.
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 background aligns with our mission at StudySmarter. Don’t forget to mention your interest in new technologies!
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 best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining 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.
✨Communicate Effectively
Since this role involves collaboration with various stakeholders, practice articulating your thoughts clearly. Be ready to explain complex data concepts in simple terms, showcasing your excellent communication skills.