Data Engineering Lead
Access Computer Consulting plc Careers
- Industry Type
- Engineering Design, Consulting
- Functional Area
- Engineering
- Nationality
- Any
- Keywords
- Data Platform Migration Databricks Cloud Environment Proficiency Leadership and Team Management Oracle Database Knowledge
Job Description
Access Computer Consulting plc Careers is looking for a Data Engineering Lead in London. The role involves leading the migration of a legacy Oracle data platform to a modern Databricks cloud environment. This position requires overseeing the data platform workstream from start to finish.
- Position
- Data Engineering Lead
- Company
- Access Computer Consulting plc Careers
- Location
- London, United Kingdom
- Industry
- Engineering Design, Consulting
- Experience
- 1 to 20 years
Responsibilities
- Lead the migration of a legacy Oracle-centric data platform to a modern Databricks cloud environment.
- Manage the data platform workstream from its inception to ensure a seamless and efficient transition.
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About the role: Data Engineering Lead
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Data Engineering Leads oversee the design and management of data systems to support business needs. They typically work in engineering design and consulting firms, collaborating with technical teams to ensure data infrastructure is efficient and reliable.
What this role usually involves
- Lead the development and maintenance of data pipelines and architectures.
- Collaborate with data scientists, analysts, and engineers to meet project requirements.
- Ensure data quality, security, and accessibility across platforms.
- Manage and mentor a team of data engineers.
- Evaluate and implement new data technologies and tools.
- Coordinate with stakeholders to align data solutions with business goals.
Skills employers usually look for
- Strong knowledge of data engineering tools and platforms.
- Proficiency in programming languages such as Python or SQL.
- Experience with cloud data services and big data technologies.
- Good leadership and team management abilities.
- Problem-solving and analytical thinking skills.
- Effective communication and collaboration skills.
Usual qualifications
- A degree in computer science, information technology, or a related field.
- Professional experience in data engineering or software development.
- Familiarity with data architecture and database management.
- Certifications in cloud platforms or data engineering are advantageous.
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