Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform real-world data into high-signal models and mentor team members on data processes.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy the flexibility of a fully remote role with opportunities for growth.
- Why this job: Be part of a dynamic team shaping the future of data engineering.
- Qualifications: 5+ years in data engineering with strong Python and SQL skills required.
- Other info: Exciting contract opportunity with potential for leadership roles in the future.
The predicted salary is between 43200 - 72000 £ per year.
Technologies: Data Architect, ETL/ELT, Data Lake, data warehousing, data pipelines, SQL.
Calling for a Data Architect who can understand and appreciate code to transform noisy real-world data into high-signal models that stand the test of time. The role will be FULLY REMOTE.
Role Requirements:
- Having thoughtful discussions with Product Manager to understand Customer’s data engineering requirements.
- Breaking complex requirements into smaller tasks for execution.
- Ability to work efficiently with a solid sense for setting priorities; ability to guide your own learning and contribute to domain knowledge building.
- Mentoring and guiding team members on ETL/ELT processes in the cloud using tools like AirFlow, Glue, Stitch, Cloud Data Fusion, DataFlow.
- Ability to work at an abstract level and build consensus; ability to see from and sell to multiple viewpoints.
- Designing and implementing Data Lake, Data Warehouse, and Data Marts in AWS.
- Creating efficient SQL queries and understanding query execution plans for tuning queries on engines like PostgreSQL.
- Performance tuning of OLAP/OLTP databases by creating indices, tables, and views.
- Write Python, Scala scripts for orchestration of data pipeline.
Technical Experience and Skill set:
- 5+ years’ experience in data engineering.
- Strong Python, Scala programming ability with several hands-on projects implemented.
- Interest in leading a team of Data Engineers in future with the successful implementation of Data Pipelines on public cloud infrastructure.
- Strong understanding of Data Engineering concepts including ETL, ELT, Data Lake, Data Warehousing, and Data Pipelines.
- Experience designing and implementing Data Pipelines, Data Lakes, Data Warehouses, and Data Marts that support terabytes scale data.
- A clear understanding of Database concepts like indexing, query performance optimization, views, and various types of schemas.
- Hands-on SQL programming experience with knowledge of windowing functions, subqueries, and various types of joins.
- Proficiency with Data Modeling experience (e.g., Relational, Dimensional, Columnar, Big Data).
- Proficiency with complex SQL and NoSQL experience.
Please get in touch for further details on this excellent contract opportunity.
Data Architect - Remote employer: Endeavour Recruitment Solutions
Contact Detail:
Endeavour Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Remote
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as AirFlow, Glue, and PostgreSQL. Having hands-on experience or even personal projects using these technologies can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your past experiences in data engineering, particularly focusing on how you've broken down complex requirements into manageable tasks. This will demonstrate your ability to work efficiently and prioritise effectively.
✨Tip Number 3
Showcase your leadership potential by thinking about how you would mentor a team of Data Engineers. Be ready to share examples of how you've guided others in ETL/ELT processes or similar areas.
✨Tip Number 4
Brush up on your SQL skills, especially around performance tuning and query optimisation. Being able to discuss specific strategies you've used to improve database performance will highlight your technical expertise.
We think you need these skills to ace Data Architect - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with ETL/ELT processes, Data Lakes, and Data Warehousing. Use specific examples from your past work that demonstrate your skills in Python and Scala.
Craft a Strong Cover Letter: In your cover letter, discuss your understanding of the role and how your background aligns with the requirements. Mention your experience in mentoring team members and your ability to break down complex tasks, as these are key aspects of the job.
Showcase Relevant Projects: Include details about hands-on projects you've completed that relate to data pipelines and cloud infrastructure. Highlight any experience you have with tools like AirFlow, Glue, or Cloud Data Fusion, as well as your proficiency in SQL and performance tuning.
Demonstrate Your Problem-Solving Skills: In your application, provide examples of how you've approached complex data challenges in the past. Discuss your thought process and how you prioritised tasks to achieve successful outcomes, as this will resonate with the company's needs.
How to prepare for a job interview at Endeavour Recruitment Solutions
✨Understand the Role Requirements
Before the interview, make sure you thoroughly understand the role of a Data Architect. Familiarise yourself with key concepts like ETL/ELT processes, Data Lakes, and Data Warehousing. This will help you engage in meaningful discussions with the interviewers about how your skills align with their needs.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Scala in detail. Bring examples of past projects where you've implemented data pipelines or optimised database performance. This will demonstrate your hands-on expertise and problem-solving abilities.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to break down complex requirements into manageable tasks. Think of scenarios where you've had to mentor team members or lead discussions with product managers. Use these examples to illustrate your leadership and communication skills.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's data strategy and future projects. Inquire about the tools they use for data orchestration or how they handle data quality issues. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
