Data Engineer

TieTalent; London; Remote; GBP 100,000 - 125,000; Full time

Job summary

A leading consultancy is seeking a Data Engineer to develop and support enterprise-grade data platforms. The role involves designing data repositories, ensuring data quality, and collaborating with teams to improve workflows. This fully remote position offers a competitive day rate.

Qualifications

• Strong Azure data skills including Data Factory, Databricks, and Data Lake.
• Proficient in Python, PySpark, and SQL with a focus on data analysis.
• Deep understanding of software development principles and data modeling.

Responsibilities

• Design and develop data repositories for reporting and analytics.
• Ingest data from various sources and ensure high data quality.
• Monitor and maintain business-critical data pipelines.

Skills

Azure Data Factory V2

Data Lake Storage V2

Databricks

Python

SQL

Data Analysis

Tools

Terraform

Azure CLI

PowerShell

Job description

Data Engineer - Consultancy - Up to £600 per day (Inside IR35) - 6 Month Contract - Remote

Overview:Join a leading consultancy, delivering innovative data-driven solutions for global clients. You’ll play a key role in developing and supporting enterprise-grade data platforms and services, ensuring high-quality data pipelines and enabling smarter business decision-making.

Key Responsibilities:

Design and develop homogenous data repositories for enterprise reporting and analytics.Ingest data from SQL databases, REST APIs, Kafka streams and other sources.Apply data cleansing rules to ensure high data quality standards.Model data into a single source of truth using Kimball methodology (star schema, snowflake, etc.).Develop high-quality code following DevOps and software engineering best practices, including testing and CI/CD.Monitor and maintain business-critical pipelines, reacting to and resolving failures when required.Collaborate with the data team to refine backlogs, plan sprints and continuously improve workflows.Perform ad-hoc data analysis across structured and unstructured data sources to support solution design.Document datasets in the data catalogue, including ownership, lineage, sensitivity and definitions.Ensure compliance with GDPR and other data regulations when handling sensitive information.Support the stability and performance of enterprise data platforms.Requirements:

Strong Azure data skills: Data Factory V2, Data Lake Storage V2, Databricks, Function Apps, Logic Apps, Stream Analytics, Terraform, Azure CLI/Portal/PowerShell.Proficient with PySpark, Delta Lake, Unity Catalog and Python (including unit and integration testing).Deep understanding of software development principles (SOLID, testing, CI/CD, version control).Strong knowledge of Kimball data modelling.Advanced SQL and data analysis skills.Excellent written and verbal communication.Proven ability to deliver under pressure while maintaining high standards.Passion for technology and its impact on business outcomes.Package:

Day Rate: Up to £600 per day. (Inside IR35)Initial 6 Month Contract (Very likely to be extended.)Contract Basis: Fully Remote.Consultancy environment: Innovative, fast-paced projects with cutting-edge technologies.Data Engineer - Consultancy - Up to £600 per day (Inside IR35) - 6 Month Contract - Remote