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For Companies At a Glance
- Tasks: Build and maintain data pipelines while solving client challenges with innovative solutions.
- Company: Join a fast-growing Palantir implementation partner with exciting projects across various industries.
- Benefits: Enjoy opportunities for growth, collaboration with industry leaders, and a dynamic work environment.
- Why this job: Dive into a booming tech market and make an impact with AI and machine learning.
- Qualifications: Strong programming skills in Python and JavaScript; familiarity with Palantir is a bonus.
- Other info: Must hold SC or DV Clearance to apply.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Databricks Data Engineer to design and deliver cloud-based data integration and analytics solutions within our Insurance portfolio. This is a hands-on role focused on building scalable data pipelines, optimising performance, and applying best practices in data quality and governance within enterprise-scale environments.
You will collaborate with senior data professionals on high-impact transformation programmes, translating business requirements into robust, production-ready data solutions. Insurance domain experience is beneficial but not essential.
Key Responsibilities
- Design and deliver scalable data pipelines using Azure Databricks, Azure Data Factory, and Azure SQL
- Build and maintain ETL/ELT processes and data quality frameworks
- Develop consistent data models and analytics-ready datasets
- Partner with stakeholders to deliver effective data solutions
- Produce technical documentation and architecture artefacts
- Stay current with Azure and data engineering best practices
- 3+ years’ experience in data engineering within enterprise environments
- Strong expertise in Azure Databricks, ADF, Synapse, and Azure Data Lake
- Hands-on experience with Spark (PySpark / Spark SQL) and orchestration
- Strong data modelling and data warehousing knowledge
- Proficiency in SQL, Git, CI/CD, and Agile/DevOps ways of working
- Insurance domain experience (policy, claims, regulatory data)
- Knowledge of enterprise data management, governance, metadata, and lineage
To be considered for this role, you must already be eligible to work in the United Kingdom without the need for sponsorship.
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Data Engineer employer: TechYard
Contact Detail:
TechYard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Palantir's products and services. Understanding how they work and their applications in various industries will give you an edge during interviews, as you'll be able to discuss how your skills can directly contribute to their projects.
✨Tip Number 2
Brush up on your Python and JavaScript skills. Since these programming languages are crucial for the role, consider working on personal projects or contributing to open-source projects to showcase your abilities and practical experience.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who have experience with Palantir. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture and expectations.
✨Tip Number 4
Prepare to demonstrate your consultative skills. Since the role involves providing guidance and support, think of examples from your past experiences where you've successfully solved client challenges or collaborated on complex projects.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and JavaScript, as well as any experience with data pipelines and ETL processes. Customise your CV to reflect the specific requirements mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your familiarity with Palantir if applicable, and provide examples of how you've successfully tackled similar challenges in previous roles.
Showcase Communication Skills: Since excellent communication is a requirement, consider including examples in your application that demonstrate your consultative abilities and how you've effectively collaborated with teams or clients in the past.
Highlight Security Clearance: If you hold SC or DV Clearance, make sure to mention it prominently in your application. This is a key requirement for the role and can set you apart from other candidates.
How to prepare for a job interview at TechYard
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in Python and JavaScript. Bring examples of past projects where you've developed data pipelines or ETL processes, as this will demonstrate your hands-on expertise.
✨Understand the Role of Palantir
Even if you’re not deeply familiar with Palantir, do some research on its functionalities and applications. Being able to discuss how it fits into data engineering and its relevance to the role will impress your interviewers.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical skills. Think about common client challenges in data engineering and how you would approach designing tailored solutions.
✨Emphasise Communication Skills
Since the role involves consultative guidance, be ready to demonstrate your communication abilities. Practice explaining complex technical concepts in simple terms, as this will show your capability to collaborate effectively with clients and team members.
