Company Description

JMAN Group is a growing technology-enabled management consultancy that empowers organizations to create value through data.

Founded in 2010, we are a team of 450+ consultants based in London, UK, and a team of 300+ engineers in Chennai, India. Having delivered multiple projects in the US, we are now opening a new office in New York to help us support and grow our US client base. We approach business problems with the mindset of a management consultancy and the capabilities of a tech company. We work across all sectors, and have in depth experience in private equity, pharmaceuticals, government departments and high-street chains. Our team is as cutting edge as our work. We take pride for ourselves on being great to work with – no jargon or corporate-speak, flexible to change and receptive of feedback. We have a huge focus on investing in the training and professional development of our team, to ensure they can deliver high quality work and shape our journey to becoming a globally recognised brand. The business has grown quickly in the last 3 years with no signs of slowing down.

Position

Technical specifications

• 3 + years of experience in data platform builds.
• Familiarity with multi cloud data warehousing solutions (Snowflake, Redshift, Databricks, Fabric, AWS Glue, Azure Data Factory, Synapse, Matillion,DBT ).
• Proficient in SQL, Apache Spark / Python programming languages.
• Good to have skills includes Data visualization using Power BI, Tableau, or Looker, and familiarity with full-stack technologies.
• Experience with containerization technologies (e.g., Docker, Kubernetes)
• Experience with CI/CD pipelines and DevOps methodologies.
• Ability to work independently, adapt to changing priorities, and learn new technologies quickly.
• Experience in implementing or working with data governance frameworks and practices to ensure data integrity and regulatory compliance.
• Knowledge of data quality tools and practices.

Responsibilities

• Design and implement data pipelines using ETL/ELT tools and techniques.
• Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes.
• Develop and implement data quality checks and monitoring processes.
• Automate data platform deployments and operations using scripting and DevOps tools (e.g., Git, CI/CD pipeline).
• Ensuring compliance with data governance and security standards throughout the data platform development process.
• Troubleshoot and resolve data platform issues promptly and effectively.
• Collaborate with the Data Architect to understand data platform requirements and design specifications.
• Assist with data modelling and optimization tasks.
• Work with business stakeholders to translate their needs into technical solutions.
• Document the data platform architecture, processes, and best practices.
• Stay up to date with the latest trends and technologies in full stack development, data engineering, and DevOps.
• Proactively suggest improvements and innovations for the data platform.

Requirements

Required Skillset:

ETL or ELT: AWS Glue/ Azure Data Factory/ Synapse/ Matillion/dbt.

Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake/fabric (Anyone - Mandatory).

Data Visualization: Looker, Power BI, Tableau.

SQL and Apache Spark / Python programming languages

Containerization technologies (e.g., Docker, Kubernetes)

Cloud Experience: AWS/Azure/GCP.

Scripting and DevOps tools (e.g., Git, CI/CD pipeline)

Other information

Behavioural Competencies:

At JMAN, we expect our team members to embody the following:

• Self-Driven & Proactive – Take ownership, execute tasks independently, and drive solutions with minimal supervision.
• Adaptability & Resilience – Thrive in a high-performance, entrepreneurial environment and navigate dynamic challenges effectively.
• Commitment & Engagement – Ensure timesheet compliance, attend meetings regularly, follow company policies, and actively participate in org-wide initiatives.
• Teamwork & Collaboration – Share knowledge, support colleagues, and contribute to talent retention and team success.
• Professionalism & Continuous Improvement – Maintain a professional demeanour and commit to ongoing learning and self-improvement.
• Mentoring & Knowledge Sharing – Guide and support junior team members, fostering a culture of continuous learning and professional growth.
• Advocacy & Organizational Citizenship – Represent JMAN positively, uphold company values, respect others, and honour commitments, including punctuality and timely delivery.