Lead Data Engineer – Consultant
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Job Location:
Monthly Salary:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
Anticipated Contract End Date/Length: November 27 2026
Work set up: Hybrid
Our client in the Information Technology and Services industry is looking for a Lead Data Engineer Consultant with proven experience in leading and developing enterprise-grade data engineering platforms. This role requires deep hands-on expertise across big data ecosystems modern data integration frameworks and CI/CD-enabled delivery models while promoting SRE culture service resilience and high-quality engineering standards in a fast-paced global environment.
What you will do:
- Lead the design and development of enterprise data engineering platforms
- Build and optimise scalable ETL/ELT data pipelines
- Integrate large disparate datasets using modern tools and frameworks
- Develop solutions using Hadoop Spark Splunk and Python
- Handle raw structured semi-structured and unstructured data across SQL and NoSQL environments
- Implement and maintain CI/CD pipelines for continuous integration delivery and deployment
- Collaborate with BI and Analytics teams to enable data-driven solutions
- Pair program and work closely with engineers to enhance code quality and delivery standards
- Drive the creation of technical test plans including unit and integration tests within automated environments
- Promote SRE culture by improving service resilience sustainability and adherence to recovery time objectives
- Represent the team in standups and technical problem-solving sessions
- Ensure control compliance and alignment with cybersecurity data privacy consent and data residency regulations
- Engage with industry groups and vendors to represent and advance business interests
- Champion innovation and the adoption of advanced technologies and engineering best practices
Qualifications :
- Extensive enterprise experience with Hadoop Spark and Splunk
- Strong proficiency in Python with object-oriented and functional scripting expertise
- Proven experience building and optimising ETL/ELT pipelines
- Experience integrating large-scale datasets across complex ecosystems
- Working knowledge of SQL and NoSQL data platforms
- Experience implementing CI/CD pipelines and source control practices
- Strong analytical and problem-solving skills
- Experience working in Agile environments such as Scrum or Kanban
- Ability to collaborate effectively within globally dispersed teams
- Strong communication active listening and stakeholder engagement skills
- Experience promoting SRE principles and ensuring service resilience
- Up-to-date knowledge of cybersecurity data privacy consent and data residency regulations
- Demonstrated leadership capability and ability to enhance team performance
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Candidates must be legally authorized to live and work in the country where the position is based without requiring employer sponsorship.
HelloKindred is committed to fair transparent and inclusive hiring practices. We assess candidates based on skills experience and role-related requirements.
We appreciate your interest in this opportunity. While we review every application carefully only candidates selected for an interview will be contacted.
HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race colour religion sex gender identity or expression sexual orientation age national origin disability veteran status or any other protected characteristic under applicable law.
Remote Work :
No
Employment Type :
Contract
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Who is HelloKindred?HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid.Our vision is to make work accessible and people’s lives better. We do this by disrupting tradi ... View more
