Join to apply for the Lead Data Engineer role at William Huston Photography

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Join to apply for the Lead Data Engineer role at William Huston Photography

We are searching for an experienced Lead Data Engineer for an exciting data-driven business with multiple office locations across the UK.

The role is offered as a remote position, but you MUST be based in the UK to be considered for the opportunity.

In this role you will be involved in determining the future direction and impact of data engineering within the business.

This is an extremely exciting Lead Data Engineering role, a fantastic opportunity for an experienced, innovative and hands-on data professional to help shape our client's products and solutions.

Reporting directly to the Head of Data Engineering, you will play a crucial role in driving the team's vision and objectives to completion. You will be expected to provide technical leadership, own the solution, ensure the reliability of data products, and collaborate closely with your team and other teams to optimise data solutions.

This is a fantastic opportunity for highly skilled and motivated Lead Data Engineer with strong expertise in data architecture, ETL pipelines, cloud technologies and big data solutions - knowledge of Hadoop and HDFS is 100% required!

You MUST have also run a team to be considered for this role - it could be a small or medium sized team but you do need team management experience - this is a MUST HAVE requirement for our client.

In this role, you will have the following: -

• Technical Leadership
• Team Management
• Leading by Example (100% hands-on)
• Data Strategy & Solutions
• Cloud (Azure or AWS)
• Championing Technical Excellence
• Leverage Big Data Technologies
• Collaboration
• Developing Large, Complex Data Sets
• Building Advanced Data Solutions
• Ensuring Cost Efficiency - Cost Models and Budgets.
  
  

• Seasoned hands-on experience in data engineering, with extensive experience in a leadership or mentoring role. Demonstrated track record of leading complex data engineering initiatives at scale. Extensive experience in designing, implementing, and optimising data solutions, supported by a history of successfully managing technical teams and projects.
• Exceptional coding skills.
• Degree in Computer Science, Software Engineering, or similar (applied to Data/Data Specialisation).
• Extensive experience in Data Engineering, in both Cloud & On-Prem, Big Data and Data Lake environments.
• Expert knowledge in data technologies, data transformation tools, data governance techniques.
• Strong analytical and problem-solving abilities.
• Good understanding of Quality and Information Security principles.
• Effective communication, ability to explain technical concepts to a range of audiences.
• Able to provide coaching and training to less experienced members of the team.
  
  

• Programming Languages such as Spark, Java, Python, PySpark, Scala or similar (minimum of 2).
• Extensive Big Data hands-on experience across coding/configuration/automation/monitoring/security is necessary.
• Significant AWS or Azure hands-on experience.
• ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones.
• Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse.
• Certifications: AWS, Azure, or Cloudera certifications are a plus.
• To be considered for this role you MUST have in-depth experience of Hadoop and HDFS.
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Data Infrastructure and Analytics

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