62082 - Data Engineer

TN United Kingdom; Southend-on-Sea; Remote; GBP 104,000; Full time

Job summary

A leading company is seeking a Data Engineer to tackle complex data challenges. This remote role involves building data artifacts, ensuring data quality, and collaborating with cross-functional teams to drive product development. The ideal candidate will have a strong technical background and excellent communication skills, with a focus on optimizing data processes and influencing product strategies.

Qualifications

• 5 years of experience working with data in relevant roles.
• 5+ years of experience with SQL, ETL, data modelling, and programming.

Responsibilities

• Collaborate with engineers and product managers to understand data needs.
• Design and launch data models and visualizations for various use cases.
• Solve data integration problems using optimal ETL patterns.

Skills

SQL

Data modelling

Communication

Collaboration

Python

Tableau

Education

Bachelor's degree in Computer Science

Tools

ETL

Data dashboard

Job description

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Data Engineer

Location: UK, remote
Start date: ASAP
Length: 9 months
Rate: £50 p/h (Inside IR35)
Hours: 40 hours per week

Role overview:

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining our client you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond. Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Qualifications & Experience:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
• 5 years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
• 5+ years of experience with SQL, ETL, data modelling, and at least one programming language (e.g., Python)
• Ideal candidate would be a strong in technical and communication/collaboration.

Skills:

• Independent project handling end to end and solid product experience/sense
• Hands on SQL (Advanced), writing pipeline with python (Intermediate)
• Data modelling
• Communication and collaboration
• Experience with Tableau / creating data dashboard (similar to internal client dashboard)

Responsibilities:

• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Define and manage Service Level Agreements for all data sets in allocated areas of ownership
• Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Improve logging
• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
• Influence product and cross-functional teams to identify data opportunities to drive impact Story Behind the Need – Business Group & Key Projects.