Lead Data Engineer

Forward Role Recruitment
Liverpool, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
ยฃ70,000.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Amazon S3 Microsoft Azure Big Data Cloud Computing Cloud Database Databases Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Security Data Systems
+23 more
Relational Databases Cryptographic Protocols Graph Database Apache Hadoop Identity and Access Management Python (Programming Language) Microsoft SQL Server MongoDB MySQL NoSQL Standard Sql Data Streaming Enterprise Data Management Data Processing Azure Data Factory Apache Spark Pyspark Apache Flink Cassandra Apache Kafka Data Management Data Pipelines Databricks

Job description

A well-established professional services business modernising its data infrastructure and embracing cloud-first technologies is looking for a Lead Data Engineer. Based in Liverpool City Centre, they are investing significantly in data capabilities to enhance client services, improve operational efficiency, and drive strategic decision-making through advanced analytics and robust data management practices., They are seeking an exceptional Lead Cloud Data Engineer to spearhead data engineering initiatives and drive technical excellence across their cloud infrastructure. You will architect sophisticated data solutions that power critical business operations while leading a talented team of engineers. This is an outstanding opportunity for someone passionate about cutting-edge technology and who wants to shape the future of enterprise data management., * Knowledge of data streaming platforms such as Kafka or Flink

  • Exposure to graph databases or vector database technologies
  • Professional certifications in Azure or AWS cloud platforms

Please note: This role cannot offer sponsorship and is not suitable for those on short term visas.

Requirements

  • Solid experience in data engineering, management and analysis
  • Strong experience with Azure Data Warehouse solutions and AWS Databricks platforms
  • Excellent Python/PySpark and other languages for data processing
  • Strong SQL with experience across relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra)
  • Hands-on knowledge of AWS S3 and related big data services
  • Extensive experience with big data technologies including Hadoop and Spark for large-scale data processing
  • Deep understanding of data security frameworks, encryption protocols, access management and regulatory compliance
  • Proven track record building automated, scalable ETL frameworks and data pipeline architectures
  • Excellent analytical and problem-solving abilities with the ability to translate business needs into technical solutions
  • Excellent stakeholder management and documentation skills
  • Team leadership experience with the ability to mentor and develop engineering talent

Benefits & conditions

  • Up to ยฃ70k DOE
  • Hybrid working from Liverpool office - 3 days on site
  • Opportunity to work with industry-leading cloud technologies
  • Leadership role with genuine career progression prospects
  • Collaborative environment with cross-functional teams
  • Benefits include enhanced annual leave, comprehensive wellbeing support, enhanced maternity and paternity benefits, life assurance, flexible benefits platform, employee referral scheme, long service recognition, and regular company events

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