SonicJobs Logo
Login
Left arrow iconBack to search

Data Engineer - Databricks

Tenth Revolution Group
Posted a day ago, valid for 25 days
Location

Manchester, Greater Manchester M17 1DJ, England

Contract type

Full Time

Retirement Plan
Life Insurance

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • The position is for a Databricks Data Engineer with a salary range of £55,000 to £60,000.
  • The ideal candidate should have expertise in Microsoft Azure and at least 3 years of experience in data engineering.
  • Key responsibilities include designing and implementing data solutions using Databricks and strong knowledge of SQL, Python, and Spark.
  • The company offers a performance-driven culture with benefits such as flexible working options, 25 days of annual leave, and private medical insurance.
  • This role is suited for skilled Data Engineers looking for career growth and exciting challenges.

Databrick Data Engineer

Salary £55,000 - £60,000

My client is a specialist data consultancy dedicated to helping businesses maximise the value of their data. By delivering cutting-edge data solutions, they empower organisations to enhance real-time reporting, improve data literacy and culture, develop AI-readiness strategies, and streamline data management for mergers and acquisitions.

My client takes pride in our innovative and creative approach, ensuring outstanding results for our clients. Our mission is to inspire, shape, and deliver the data capabilities of the future.

They have exciting opportunities for talented Data Engineers to support clients in navigating the complexities of data management, analytics, and strategy.

What We're Looking For

My clients Data Engineers are highly skilled professionals with expertise in Microsoft Azure and other cloud platforms. They possess strong technical and interpersonal abilities, enabling them to develop efficient solutions in collaborative environments.

Key responsibilities include:

  • Designing and implementing high-performance data solutions using the Databricks Data Intelligence platform on Azure or AWS.

  • Expertise in SQL, Python, and Spark (Scala or Python).

  • Strong knowledge of Databricks components such as Delta Lake, Unity Catalog, and ML Flow.

  • Experience working with relational SQL databases, both on-premises and in the cloud.

  • Delivering robust solutions using key data techniques, including Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, and BI.

  • Proficiency in Agile and DevOps methodologies, Git, APIs, Containers, Microservices, and Data Pipelines.

  • Exposure to technologies such as Kafka, Snowflake, Azure Data Factory, Azure Synapse, or Microsoft Fabric.

  • Knowledge of data modelling frameworks like Inmon, Kimball, and DataVault.

What We Offer

My client fosters a performance-driven culture that rewards talent and encourages professional growth. With structured learning paths on platforms like Udemy and in-house knowledge-sharing sessions, as they invest in your development every step of the way.

Benefits Include:
  • Competitive base salary with an annual performance-related bonus.

  • Flexible hybrid working options (Edinburgh, Manchester & London).

  • 25 days annual leave, plus bank holidays and a bonus birthday day off.

  • Career progression programme with a dedicated career coach.

  • Private medical insurance and life insurance.

  • Contributory pension scheme.

  • Access to our health and well being group.

  • And much more!

Interested?

If you're a skilled Data Engineer looking for an exciting challenge, my client is the perfect place to grow your career. If you are interested or know someone who would be perfect for the role apply now or reach out to me @

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.