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- Tasks: Join us as a Data Engineer, building and optimising ETL/ELT pipelines and supporting BI needs.
- Company: Be part of a dynamic team focused on scaling data infrastructure and driving transformation.
- Benefits: Enjoy a hybrid work model with 3 days in-office and 2 days remote for ultimate flexibility.
- Why this job: Work across the full data stack while collaborating closely with experienced professionals in a supportive culture.
- Qualifications: Strong experience with Databricks, Python, SQL, and BI tools like ThoughtSpot is essential.
- Other info: This is a 12-month maximum term contract, perfect for those eager to grow their skills.
The predicted salary is between 36000 - 60000 £ per year.
About the role:We’re looking for a hands-on Data Engineer to join us on a 12-month max-term contract and play a key role in supporting and scaling our growing data infrastructure.In this role, you’ll be responsible for building and maintaining scalable ETL/ELT pipelines using Databricks and modern cloud tools. You’ll also step in to temporarily support our business intelligence needs, developing and maintaining reports and dashboards in ThoughtSpot (or a similar BI platform).You’ll collaborate closely with our Lead Data Engineer, who will provide architectural guidance and help drive the strategic direction of our data transformation initiatives.This role is a great fit for a data engineer who enjoys working across the full data stack—from raw data ingestion and transformation all the way to the BI layer—with a strong focus on data quality, reliability, and usability.We offer a hybrid work arrangement: 3 days in the office and 2 days remote each week, giving you the flexibility to do your best work.Key Responsibilities:Data EngineeringBuild, maintain, and optimize robust ETL/ELT pipelines using Databricks.Contribute to the design and implementation of data lake and data warehouse architecture.Translate business requirements into reliable and scalable data solutions.Collaborate with the Lead Data Engineer on data modeling, pipeline design, and cloud infrastructure best practices.Implement monitoring, alerting, and logging for data pipelines to ensure data integrity and reliability.Participate in sprint planning, technical documentation, code reviews, and team collaboration rituals.BI & Reporting SupportMaintain and support dashboards and reports in ThoughtSpot.Assist stakeholders with ad hoc data queries and visualization needs.Ensure availability and accuracy of key business metrics during the analyst’s leave period.Translate complex datasets into usable, decision-support insights.Key Requirements:EssentialStrong experience building and managing ETL/ELT pipelines in Databricks or similar platforms.Proficiency in Python and SQL for data processing, transformation, and analysis.Deep knowledge of data modeling and warehousing concepts.Experience with BI tools, preferably ThoughtSpot (or Power BI, Tableau, Looker).Solid version control and collaboration practices (e.g., Git).Ability to collaborate closely with both technical and non-technical team members.Effective communication and problem-solving skills.DesirableExposure to DevOps practices such as CI/CD (e.g., Azure DevOps), infrastructure as code (e.g., Terraform).Experience working in a remote or distributed team environment.Experience working with cloud environments (AWS, Azure, or GCP).Familiarity with AWS services like S3, Lambda, EC2, SQS, and SNS.Personal AttributesCurious, proactive, and eager to learn.Comfortable balancing engineering depth with occasional BI support.Strong ownership mindset and attention to detail.Organized and efficient; able to manage priorities across domains.If you would like to be a part of the Wilbur team then please submit your application. We look forward to hearing from you! #J-18808-Ljbffr
Data Engineer with BI Capability (12-Month Maximum Term Contract) employer: JobLeads GmbH
Contact Detail:
JobLeads GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer with BI Capability (12-Month Maximum Term Contract)
✨Tip Number 1
Familiarise yourself with Databricks and its ETL/ELT capabilities. Since this role heavily relies on building and maintaining pipelines using Databricks, having hands-on experience or completing relevant online courses can give you a significant edge.
✨Tip Number 2
Brush up on your Python and SQL skills. As these are essential for data processing and transformation, being able to demonstrate your proficiency in these languages during discussions can set you apart from other candidates.
✨Tip Number 3
Gain a solid understanding of BI tools, especially ThoughtSpot. If you have experience with similar platforms like Power BI or Tableau, be prepared to discuss how those skills can translate to the requirements of this role.
✨Tip Number 4
Showcase your collaborative skills. This position involves working closely with both technical and non-technical team members, so be ready to share examples of how you've successfully collaborated in past projects.
We think you need these skills to ace Data Engineer with BI Capability (12-Month Maximum Term Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL/ELT pipelines, Databricks, and BI tools like ThoughtSpot. Use specific examples to demonstrate your skills in Python, SQL, and data modelling.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the key responsibilities and requirements outlined in the job description.
Showcase Relevant Projects: If you have worked on projects involving data engineering or BI reporting, include these in your application. Describe your role, the technologies used, and the impact of your work.
Highlight Soft Skills: Don’t forget to mention your communication and problem-solving skills. The role requires collaboration with both technical and non-technical team members, so showcasing these attributes can set you apart.
How to prepare for a job interview at JobLeads GmbH
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ETL/ELT pipelines, particularly in Databricks. Highlight specific projects where you've built or optimised data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate BI Knowledge
Since this role involves supporting business intelligence needs, make sure to talk about your experience with BI tools like ThoughtSpot, Power BI, or Tableau. Share examples of dashboards or reports you've created and how they provided value to stakeholders.
✨Emphasise Collaboration Skills
This position requires working closely with both technical and non-technical team members. Prepare to discuss how you've successfully collaborated in past roles, perhaps by sharing a specific instance where your communication skills made a difference in a project.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's data strategy and culture. Inquire about their current data challenges or how they envision the role evolving over the next year. This demonstrates your proactive mindset and eagerness to contribute.
