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- Tasks: Join our Data Engineering team to develop ETL processes and data pipelines in Azure.
- Company: Leading firm in the nuclear industry with a focus on innovation and collaboration.
- Benefits: Enjoy up to 20% bonus, 25 days holiday, and private health insurance.
- Other info: Dynamic team environment with opportunities for professional growth and learning.
- Why this job: Make an impact by transforming data and working on unique client projects.
- Qualifications: Experience with Azure tools and a passion for data engineering.
The predicted salary is between 60000 - 80000 £ 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 employer: DBD International
Contact Detail:
DBD International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. We can’t stress enough how personal connections can lead to job opportunities.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving Azure Data Factory or Databricks. We love seeing real examples of your work, so make sure to highlight your best stuff!
✨Ace the Interview
Prepare for those technical interviews by brushing up on your ETL processes and data pipeline designs. We recommend practicing common interview questions and maybe even doing mock interviews with friends to build your confidence.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to join our high-performing team.
We think you need these skills to ace Azure Data Engineer
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. Be sure to mention specific projects or experiences that relate to the nuclear industry or data governance.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your proficiency in languages like Scala, Python, or SQL, and any experience with Azure Synapse Analytics. We love seeing candidates who are hands-on with the tools we use!
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 Synapse Analytics. Brush up on your skills in Scala, Python, and SQL, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've developed ETL processes or data pipelines. Highlight any challenges you faced and how you overcame them, especially in a cloud environment. Real-world examples can really impress interviewers.
✨Understand Data Governance
Since data security and governance are crucial for this role, be ready to talk about your experience with implementing data security measures. Familiarise yourself with concepts like row-level security and dynamic data masking, as well as compliance with data privacy regulations.
✨Collaborate and Communicate
This role involves working closely with various teams, so demonstrate your collaboration skills. Be prepared to discuss how you’ve worked with data analysts, architects, and other stakeholders to gather requirements and ensure successful project outcomes.