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Data Engineers & Consultants

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Job Description

ABOUT JMAN :

  • 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 600+ consultants based in London, UK, and a team of 450+ 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.

Why work at JMAN

Our vision is to ensure JMAN Group is the passport to our team's future.We want our team togo on a fast-paced, high-growth journey with us – when our people want to do something else, the skills, training, exposure, and values that JMAN has instilled in them should open doors all over the world.

  • Current Benefits:
  • Competitiveannual bonus
  • Market-leading private health insurance
  • Regular company socials
  • Annual company away days
  • Extensive training opportunities

Technical specifications

  • 5+ years of experience in data platformbuild or any related field.
  • Familiarity and has worked with cloud-based data warehousing solutions (e.g., Snowflake, Redshift, Databricks, Fabric) and principles
  • Proficient in SQL and Apache Spark / Python/Pyspark programming languages.
  • Experience with cloud platforms like Azure, or GCP.
  • Experience in data pipelines and ETL/ELT tools, including AWS Glue/Azure Data Factory/ Synapse/Matillion/DBT
  • Experience in implementing or working with data governance frameworks and practicesto ensure data integrity and regulatory compliance.
  • Knowledge of data qualitytools and practices.
  • Good to have skillsinclude o Data visualization usingPower 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.
  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to work independently, adapt to changingpriorities, and learnnew technologies quickly.

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 checksand 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 issuespromptly 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 platformarchitecture, processes, and best practices.
  • Stay up to date with the latest trends and technologies in full stack development, data engineering, and DevOps.
  • Proactively suggestimprovements and innovations for the data platform.

Required Skillset:

  • ETL or ELT: AWS Glue/Azure Data Factory/Synapse/ Matillion/dbt.
  • Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone- Mandatory).
  • Data Visualization: Looker, Power BI, Tableau.
  • SQL and Apache Spark / Python/Pyspark programming languages
  • Containerization technologies (e.g., Docker, Kubernetes)
  • Cloud Experience: Azure platform
  • Scripting and DevOps tools(e.g., Git, CI/CD pipeline)

MOST Preferrably - Immediate to 30 Days Joiners

Behavioural Competencies:

At JMAN, we expect our team membersto 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 meetingsregularly, 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 juniorteam members, fosteringa culture of continuous learning and professional growth.
  • Advocacy & Organizational Citizenship – Represent JMAN positively, uphold company values, respectothers, and honourcommitments, including punctuality and timely delivery.

More Info

About Company

Job ID: 150839507

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