At a Glance
- Tasks: Design and optimise data pipelines using Databricks and collaborate with clients on data solutions.
- Company: Ambitious AI/data consulting firm focused on cutting-edge solutions.
- Benefits: Competitive pay, performance incentives, and opportunities for professional growth.
- Other info: Join a supportive team that values innovation and excellence.
- Why this job: Make a real impact in AI-driven consulting while working with innovative technologies.
- Qualifications: 5+ years in data engineering, strong skills in Databricks, Python, and SQL.
The predicted salary is between 36000 - 60000 £ per year.
We are an ambitious consulting firm focused on delivering cutting-edge solutions in data and AI. Our mission is to empower organisations to unlock the full potential of their data by leveraging platforms like Databricks alongside other emerging technologies.
As a Data Engineer, you will play a crucial role in building and optimising data solutions, ensuring scalability, performance, and reliability for our clients' complex data challenges.
The Role:
- Design, implement, and optimise large-scale data processing systems.
- Work closely with clients, data scientists, and solution architects to ensure efficient data pipelines, reliable infrastructure, and scalable analytics capabilities.
- This role requires strong technical expertise, problem-solving skills, and the ability to work in a dynamic, client-facing environment.
Your Impact:
- Develop, implement, and optimise data pipelines and ETL processes on Databricks.
- Work closely with clients to understand business requirements and translate them into technical solutions.
- Design and implement scalable, high-performance data architectures.
- Ensure data integrity, quality, and security through robust engineering practices.
- Monitor, troubleshoot, and optimise data workflows for efficiency and cost-effectiveness.
- Collaborate with data scientists and analysts to facilitate machine learning and analytical solutions.
- Contribute to best practices, coding standards, and documentation to improve data engineering processes.
- Mentor junior engineers and support knowledge-sharing across teams.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines using Databricks, Spark, and Delta Lake.
- Develop efficient ETL/ELT workflows to process large volumes of structured and unstructured data.
- Implement data governance, security, and compliance standards.
- Work with cloud platforms such as AWS, Azure, or GCP to manage data storage and processing.
- Collaborate with cross-functional teams to enhance data accessibility and usability.
- Optimise data warehouse and lakehouse architectures for performance and cost efficiency.
- Maintain and improve CI/CD processes for data pipeline deployment and monitoring.
What We Are Looking For:
- 5+ years of experience in data engineering or related roles.
- Strong expertise in Databricks, Spark, Delta Lake, and cloud data platforms (AWS, Azure, or GCP).
- Proficiency in Python and SQL for data manipulation and transformation.
- Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect).
- Knowledge of data modelling, data warehousing, and lakehouse architectures.
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code.
- Strong problem-solving skills and the ability to work in fast-paced environments.
- Excellent communication and stakeholder management skills.
Preferred Qualifications:
- Experience with machine learning data pipelines and MLOps practices.
- Knowledge of data streaming technologies such as Kafka or Kinesis.
- Familiarity with Terraform or similar infrastructure automation tools.
- Previous experience working in consulting or client-facing roles.
What We Offer:
- Competitive compensation, including performance-based incentives.
- Opportunities for professional growth and development in a fast-growing firm.
- A collaborative and supportive environment that values innovation, excellence, and client success.
If you’re passionate about data engineering and ready to make an impact in AI-driven consulting, we’d love to hear from you!
Data Engineer Databricks employer: Ethiq
Join our ambitious AI/Data consulting firm as a Data Engineer (Databricks) and be part of a dynamic team dedicated to delivering innovative data solutions. We offer competitive compensation, performance-based incentives, and a collaborative work culture that fosters professional growth and development. Located in a vibrant area, our firm values innovation and excellence, providing you with the opportunity to make a meaningful impact while working closely with clients and cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Databricks
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of landing that Data Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Databricks and data pipelines. Share it on platforms like GitHub or your personal website to give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python, SQL, and data engineering concepts. Practice common interview questions and be ready to discuss your past projects and how you tackled challenges.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It shows your genuine interest in joining our team and gives us a chance to see your application first-hand. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Engineer Databricks
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, Spark, and any relevant cloud platforms. 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 mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and problem-solving skills in action.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Ethiq
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss how you've used it in past projects, especially focusing on data pipelines and ETL processes. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to share instances where you've tackled complex data challenges. Think about how you optimised data workflows or improved performance in previous roles. This will demonstrate your ability to think critically and adapt in a dynamic environment.
✨Communicate Clearly with Stakeholders
Since this role involves working closely with clients, practice explaining technical concepts in simple terms. You might be asked how you would translate business requirements into technical solutions, so being able to communicate effectively is key.
✨Familiarise Yourself with Cloud Platforms
Get comfortable discussing your experience with cloud platforms like AWS, Azure, or GCP. Be prepared to explain how you've managed data storage and processing in these environments, as this is crucial for the role.
