At a Glance
- Tasks: Join our Data Engineering team to develop innovative ETL processes and data pipelines in Azure.
- Company: Leading tech firm specialising in the nuclear industry with a focus on collaboration.
- Benefits: Enjoy up to 20% bonus, 25 days holiday, enhanced pension, and private health insurance.
- Other info: Dynamic work environment with opportunities for professional growth and skill development.
- Why this job: Make a real impact by transforming data and optimising solutions for exciting client projects.
- Qualifications: Experience with Azure tools and a passion for data engineering is essential.
The predicted salary is between 60000 - 72000 £ per year.
This is an exceptional opportunity to apply and develop your skills within our high-performing Data Engineering team working on exciting and unique client projects in the nuclear industry.
What you will be doing:
- Developing ETL (Extract, Transform, Load) processes to clean, enrich, and aggregate data.
- Designing and implementing data pipelines to ingest data from various sources (both Cloud and on-premises) into Azure.
- Transforming raw data into usable formats using tools like Azure Data Factory, Databricks, or Azure Synapse Analytics.
- Performing data transformations using Azure Synapse Analytics' serverless SQL Pools, Apache Spark pools, or Azure Databricks.
- Developing scalable and efficient data processing solutions using Synapse Spark, Scala, Python or SQL.
- Implementing data cleansing, deduplication and enrichment processes.
- Creating and maintaining data models (relational, non-relational, or hybrid) using Azure Synapse Analytics dedicated SQL pools or Azure Cosmos DB.
- Optimising data storage and partitioning strategies for efficient querying and analysis.
- Ensuring data security and governance by implementing row-level security, dynamic data masking, and auditing.
- Integrating Azure Synapse Analytics with Power BI for data visualization and reporting.
- Implementing incremental data refresh and DirectQuery models in Power BI for real-time reporting.
- Developing Azure Synapse Pipelines or Power Automate flows to automate data processing.
- Ensuring compliance with data privacy and regulatory requirements in accordance with prevailing UK or country of deployment's relevant regulations and law.
- Optimising queries, indexes, and storage to improve efficiency.
- Implementing data security and governance policies using Azure Active Directory, Azure Key Vault, and Azure Purview, working closely with Information and Security Architects to ensure solutions meet governance requirements for required client solutions.
- Collaborating with data governance teams to establish and enforce data standards and best practices.
- Working closely with consultants, architects and SMEs, data analysts, data scientists, and business stakeholders to understand and capture data requirements.
- Establishing version control practices for data workflows, pipeline code and configurations using git and Azure DevOps.
- Promoting collaboration and code review processes throughout the Mission Optimization team.
- Maintaining comprehensive documentation for data pipelines, configurations, and deployment procedures.
- Sharing best practices, knowledge, and guidelines with team members to enhance their understanding of Data Engineering principles and practices.
Formal qualifications or training:
- Azure DevOps (CI/CD) or infrastructure as code (BICEP) are a strong advantage.
Benefits:
- Up to 20% bonus
- 25 days holiday
- Enhanced pension
- Private health insurance
- Private dental
- And more
Azure Data Engineer in England employer: DBD International
Join our dynamic Data Engineering team, where you'll have the opportunity to work on innovative projects within the nuclear industry while enjoying a supportive and collaborative work culture. We offer competitive benefits including up to a 20% bonus, 25 days of holiday, and comprehensive health insurance, alongside ample opportunities for professional growth and development in a cutting-edge technological environment.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. 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 Azure Data Factory or Databricks. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical scenarios. Practice explaining your thought process when designing ETL processes or optimising data storage – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace Azure Data Engineer in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Azure Data Engineer role. Highlight your experience with ETL processes, data pipelines, and any relevant tools like Azure Data Factory or Databricks. We want to see how your skills match 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 specific projects or experiences that relate to the nuclear industry.
Showcase Your Technical Skills:When filling out your application, be sure to showcase your technical skills clearly. Mention your proficiency in languages like Scala, Python, or SQL, and any experience with Azure Synapse Analytics. We love seeing candidates who can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at DBD International
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, like Azure Data Factory, Databricks, and Azure Synapse Analytics. Brush up on your skills in ETL processes and data transformation techniques, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you overcame them. Think about examples where you optimised data storage or improved query efficiency, as this will demonstrate your practical experience and analytical thinking.
✨Understand Data Governance
Familiarise yourself with data security and governance practices, especially those relevant to Azure. Be ready to talk about how you’ve implemented data cleansing, deduplication, and compliance measures in past roles, as this is crucial for the position.
✨Collaborate and Communicate
Since the role involves working closely with various stakeholders, be prepared to discuss how you’ve collaborated with teams in the past. Highlight your experience in maintaining documentation and sharing best practices, as effective communication is key in a data engineering environment.
