Lead Data Engineer

Lead Data Engineer

One of my Major clients is looking for a Lead Data Engineer within a leading Financial Sector. This is for a January start and offers a 12-18 months contract/project duration.

The Project

Re-inventing and re-designing the data architecture to support our next generation of our Data Lake.
The ideal Lead Data Engineer should be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

Responsibilities for Lead Data Engineer

• Create and maintain, with the team, an optimal data pipeline architecture,

• Assemble large, complex data sets that meet functional / non-functional requirements.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Build the infrastructure required for optimal loading of data from a wide variety of data sources using SQL and big data’ technologies.

• Work with stakeholders including the Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

• Keep our data separated and secure across international boundaries through multiple data centers

• Work with data and analytics experts to strive for greater functionality in our data systems.

Required experience for the Lead Data Engineer

•Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
•Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
•Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
•Strong analytic skills related to working with (un)structured datasets.
•Build processes supporting metadata, dependency and workload management.
•A successful history of manipulating, processing and extracting value from large disconnected datasets.
•Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
•Ability to work in a team environment in a collaborative manner.
•Excellent listening and communication skills
•Strong leader and organizational skills.
•Experience working in an Agile/Scrum organization
•Experience supporting and working with cross-functional teams in a dynamic environment.
•Experience working in a DevOps environment (CI/CD, Test Automation, TDD), Docker, Jenkins.
•We are looking for a candidate with 5+ years of experience in a Data and/or Software Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
o Highly experienced with big data tools: NiFi, Hadoop, Hive, HDFS, Spark, Kafka, etc.
o Experience with relational SQL and NoSQL databases, including Postgres and Oracle.
o Experience with stream-processing systems: Kafka, Storm.
o Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.

Please get in touch if this is of interest for more details, or feel free to send in your latest CV to apply.