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Lead Data Engineer

US Subsidiary Office
Posted 1 week ago


  • Design, develop, and maintain scalable and efficient data pipelines and workflows to support marketing solutions, ensuring the reliable extraction, transformation, and loading (ETL) of data
  • Collaborate closely with data architects, analysts, and other stakeholders to understand data requirements and design data models and architectures that meet business needs
  • Implement data quality checks, validation processes, and monitoring tools to ensure the accuracy, completeness, and integrity of data
  • Optimize data pipelines and workflows for performance, reliability, and scalability, leveraging best practices and emerging technologies
  • Develop and maintain documentation for data engineering processes, standards, and best practices
  • Provide technical guidance and support to other team members, as needed, fostering a culture of collaboration and knowledge sharing
  • Stay current with industry trends, advancements, and best practices in data engineering, and apply this knowledge to enhance data capabilities and offerings
  • Uphold confidentiality and security standards for client data, ensuring compliance with relevant regulations and policies
  • Communicate effectively with remote/offshore teams, leveraging appropriate tools and technologies to facilitate collaboration and productivity



  • Bachelor’s degree in computer science or related experience
  • 6+ years of experience in data engineering, ETL development, or a similar role, preferably in a marketing or technology environment
  • Proficiency in DBT, SQL, Microsoft SQL Server, PostgreSQL, Snowflake, Knime, and Python for designing and implementing data pipelines and workflows
  • Familiarity with project management platforms like JIRA or similar tools for tracking and managing technical projects
  • Strong understanding of data modeling, data warehousing, and database technologies, with experience in both relational and non-relational databases
  • Familiarity with AWS cloud based data services (e.g., Redshift, AWS Glue, S3, BigQuery, Athena, etc ..)
  • Excellent problem-solving skills, with the ability to analyze complex data requirements and develop innovative solutions to meet business needs
  • Proven ability to work independently and manage multiple tasks and priorities in a remote/offshore environment

General Responsibilities

Flexibility: The post holder may be required to work at any of the Mitra sites in line with service & operational needs. The post holder may be required to undertake such other duties temporarily, or on a continuing basis as may be required commensurate with this role. This may include periods of time working on client premises and / or internationally.

Confidentiality, Data Protection, Freedom of Information and Computer Misuse: All staff must ensure confidentiality and security of information dealt with in the course of performing their duties. They must comply with and keep up to date with Mitra policies and legislation on confidentiality, data protection, freedom of information and computer misuse. Any matter of a confidential nature, particularly information relating to customers or other members of staff, must not, under any circumstances, be divulged or passed on
to any unauthorized persons. This duty extends after employment ceases.

Communication: All staff should be able to communicate effectively and in line with Mitra style of communications.

Health, Safety, Security and Risk Management: All staff are required to adhere to and act consistently with all relevant health and safety legislation and procedures in order to ensure that their own and the health, safety and security of others is maintained. This will include identifying and reporting all risks to health and safety, security of equipment and property.

Equality and Diversity: Actively promote Mitra’s commitment to equality and diversity by treating all colleagues and customers with dignity and respect.
Mandatory, job related training and personal development: Take a proactive approach to own personal development in order to ensure that skills are aligned to the demands of the role as it evolves and develops to meet the organization’s changing needs.

Data Quality: It is the responsibility of all employees to ensure data is of a high-quality standard, in order to support Mitra in providing a quality service. Data must be accurate, valid, reliable, timely, relevant and complete.

Standards of Business Conduct: It is the responsibility of all employees to conduct all businessin an open, honest and ethical manner. Mitra is committed to acting with integrity in all its dealings and relationships with customers, partners and other organizations

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