Summary: The Implementation Engineer role focuses on data and business analysis, requiring logical thinking and data interpretation skills. The candidate will configure tools and platforms, primarily working with ETL packages and client platforms. Experience in data analysis and the ability to document findings for implementation are essential for success in this position.

Key Responsibilities:

• Collaborate with clients to analyse data-driven business processes in detail, ensuring a clear understanding of the data and its implications.
• Document findings to prepare for implementation.
• Configure, extend, deploy, test, and validate complete solutions for customers from end to end.
• Conduct data analysis, exploration, testing, and validation while interacting with clients to comprehend data structures and use cases.
• Configure connectors for various platforms such as Shopify, Akeneo, Bloomreach, and Optimove.
• Set up workflows and data transformations.
• Configure functions and transforms, including writing new plugins as needed.
• Work with canonical data models (XDM) and perform data mapping using the clients portal, Jsonata, or code plugins.
• Establish data hubs, focusing on data mapping and domain-specific components.
• Create and manage data quality dashboards.
• Develop data pipelines and manage warehouse/lake tables and views using Databricks and other tools, adhering to the medaillon architecture.
• Configure, extend, or create BI dashboards with PowerBI that leverage data layers.
• Perform testing and validation of implemented solutions.
• Produce comprehensive documentation and training guides on the packages and their usage.
• Provide guidance on the best approaches to leverage the platform to achieve desired results.

Key Skills:

• Strong foundation in data and business analysis.
• Logical thinking and ability to interpret data.
• Experience configuring tools and platforms.
• Understanding of scripts and plugins.
• Experience with ETL packages.
• Data analysis skills.
• Ability to document findings effectively.
• Familiarity with platforms such as Shopify, Akeneo, Bloomreach, and Optimove.
• Knowledge of canonical data models (XDM) and data mapping.
• Experience with Databricks and BI dashboards, particularly PowerBI.

Salary (Rate): £500

City: London

Country: United Kingdom

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: Mid-Level

Industry: IT