Data engineer Work, Jobs in Peasmarsh, Esx (with Salaries)

Data Engineer
Park Holidays UK —Bexhill
- Up to £30,000 a year
- Full-time
- Azure
- Sales
- SQL
- Employee assistance programme
- Employee discount
11h
Head of Data Platform Engineering
Hastings Direct —Bexhill
- Full-time
- Hybrid work
- Azure
- Annual leave
Junior Data Engineer
KMH Group —Maidstone
- Night shift
- Driving
- Annual leave
Data Platform Engineer
Verifone —Ashford
- Remote
- DevOps
- AWS
- Machine learning
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Data Engineer

Park Holidays UK -
Bexhill

Apply Now

Job details

Permanent | Full-time
Up to £30,000 a year
11 hours ago

Benefits

Company pension
Discounted gym membership
Employee assistance programme
Employee discount
Life insurance
Referral programme

Qualifications

Power BI
Data modelling
Azure
Business intelligence
Sales
Microsoft SQL Server
SQL
Analysis skills
Business requirements
Data warehouse
Python
T-SQL

Full job description

Compensation: Up to £30,000
Weekly Hours: 35

Looking for a rewarding career in the holiday park industry? Park Holidays UK is one of the leading holiday park operators, offering exciting opportunities in a fun and dynamic environment. Whether you're passionate about customer service, hospitality, or outdoor adventures, we have a role for you. Join our team and be part of creating unforgettable holiday experiences!

Overview

We are seeking a enthusiastic and motivated Data Engineer to support the organisation's data transformation and reporting initiatives. This role will be responsible for designing, developing, and maintaining scalable data solutions that automate business processes, improve reporting capabilities, and enhance the quality and accessibility of data across the organisation.
The successful candidate will play a key role in developing and maintaining our data warehouse, ETL processes, and reporting platforms, ensuring stakeholders have access to accurate, reliable, and timely information to support decision-making. This role is an excellent opportunity for someone looking to develop their career in data engineering, business intelligence, and analytics.
Working alongside experienced colleagues, you will help develop and maintain reporting solutions, support data integration processes, and contribute to projects that automate business processes and improve access to management information. You will gain hands-on experience working with SQL, Power BI, and Azure Data Factory while developing your technical and professional skills.
The successful candidate will have strong analytical and problem-solving abilities, experience with SQL, Power BI, and Azure Data Factory would be advantageous. The candidate will additionally have a willingness to learn, and the ability to communicate effectively with both technical and business stakeholders.

Job Duties

Develop, maintain, and optimise complex SQL queries, stored procedures, and database objects to support reporting and build warehouse data models.
Create, enhance, and support Power BI reports and dashboards, using advanced DAX measures and efficient data modelling techniques to deliver meaningful business insights.
Monitor, troubleshoot, and improve data pipelines and reporting processes to ensure data accuracy, completeness, and performance.
Develop and maintain ETL and ELT pipelines using Azure Data Factory (ADF), ensuring reliable and efficient data movement and transformation.
Work closely with business stakeholders to gather reporting and data requirements and translate these into robust technical solutions.
Support the automation of manual processes through the development of data-driven solutions and workflow improvements.
Collaborate with cross-functional teams to identify opportunities for process improvement and increased operational efficiency through data and analytics.
Produce and maintain technical documentation relating to data models, ETL processes, reporting solutions, and system architecture.
Assist with the investigation and resolution of data-related issues, providing timely support to stakeholders where required.

Requirements

Strong analytical and problem-solving skills with excellent attention to detail.
Ability to communicate effectively with both technical and non-technical stakeholders.
Ability to manage multiple priorities and deliver high-quality solutions within agreed timescales.
Experience working with SQL Server and T-SQL.
Experience writing and optimising complex SQL queries and stored procedures.
Experience designing, developing, and maintaining data warehouse solutions and data models.
Strong Power BI development experience, including dashboard creation, report development, and performance optimisation.
Advanced knowledge of DAX and Power BI data modelling techniques.
Experience developing, maintaining, and supporting ETL/ELT processes.
Experience using Azure Data Factory to build and manage data integration pipelines.
Experience using Python for data transformation, automation, and analysis.
Experience gathering business requirements and translating them into technical solutions.
Experience working within a business intelligence, analytics, or data engineering function.

At Park Holidays UK, you'll be part of an industry-leading organisation where you'll be challenged, inspired, rewarded, and empowered to grow. We pride ourselves on placing a high value on our team members — it’s one of the key things that sets us apart.

We’ll encourage you to bring your best every day, offering exciting opportunities, meaningful work, a supportive and collaborative environment, and plenty of room for professional development.

Employee Benefits at Park Holidays UK include:

Generous discount on holidays across our parks
Discount at all restaurants on park for you and your family
Life Insurance coverage, including a 24/7 digital GP and funeral concierge service for you and your family.
Free premium eye test voucher
Comprehensive Employee Assistance Programme offering counselling, retail discounts, and more.
Discounted gym memberships
Employee referral scheme
Sales referral scheme
Free expert mortgage advice
Company pension scheme

IND1

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