Jobs

Senior Data Engineer


Job details
  • Landmark Information
  • 1 month ago
Applications closed

Senior Data Engineer

Remote

What it's like to work at Landmark:

At Landmark, you'll find a friendly, dynamic, and supportive team that values bold ideas, big dreams, and active curiosity. We foster a culture of innovation, encouraging everyone to contribute to the development and direction of our products and services, while continuously seeking new and efficient ways to work. Collaboration and sociability are at the heart of what we do, and we take pride in coming together to achieve great things.

We offer a range of benefits to support your well-being and career growth, including:

Competitive SalaryGenerous Holiday Allowance: 25 days' holiday plus bank holidays, with the option of adding up to 5 additional unpaid leave days per yearAnnual Lifestyle Allowance: £300 to spend on an activity of your choicePension Scheme: Matched up to 6% for the first 3 years, and up to 10% thereafterPrivate Health Insurance: Provided by VitalityGroup Income Protection SchemeCharitable Fundraising: Matched funding for your effortsCycle to Work and Gym Flex SchemesInternal Coaching and Mentoring: Available throughout your time with usTraining and Career Progression: A strong focus on your developmentFamily-Friendly PoliciesFree Parking

Join us at Landmark and be part of a team that supports your ambitions and growth, both personally and professionally.

The Opportunity

Are you ready to make a significant impact on the future of data? We have an exciting Senior Data Engineer role in our Data Engineering team, perfect for experienced professionals ready to lead and innovate. As a 100% data-driven company, we pride ourselves on employing the best engineering practices across our products and solutions. This role offers a broad and varied experience within our Data Engineering function, empowering you to create data-as-product solutions that drive real change.

In this role, you will:

Assemble Large, Complex Data Sets: Craft and manage data sets that meet both functional and non-functional business requirements.Build Advanced Data Solutions: Develop the software and infrastructure for optimal data extraction, transformation, and loading using leading cloud technologies like Azure and AWS.Leverage Big Data Technologies: Utilize tools such as Hadoop, Spark, and Kafka to design and manage large-scale data processing systems.Extend & Maintain Data Warehousing: Support and enhance the Data Warehouse platform crucial for Landmark's reporting solutions.Ensure Cost Efficiency: Keep the Data Platform and its solutions within agreed cost models and budgets.Lead by Example: Provide thought leadership, inspiring and guiding your team through excellence.

About You

We're looking for a passionate leader or senior engineer with the ability to inspire, mentor, and bring a team along on the journey. The ideal candidate will possess:

Extensive experience in data engineering, in both Cloud & On-prem environments Expert knowledge in data technologies, data transformation tools, data governance techniques. Exceptional coding skills. Strong analytical and problem-solving abilities. Good understanding of Quality and Information Security principles. Azure or AWS experience (coding/configuration/automation/monitoring/security) Big Data expertise Advanced Database and SQL skills Effective communication, ability to explain technical concepts to a range of audiences Strong understanding of the principles of data model design and implementation Able to provide coaching and training to less experienced members of the team Essential skills: ETL Tools such as Azure Data Fabric (ADF) and Databricks Languages such as Python, Spark, Java, PySpark, Spark SQL Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse SQL or Data warehousing design patterns and implementation Highly desirable skills: Geospatial data experience

Join us and lead the charge in transforming the data landscape at Landmark, while advancing your career in a dynamic and forward-thinking environment.

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