(High Salary) Senior Data Engineer...

Job Description 📢 Perch Group are searching for a
Senior Data Engineer. At Perch Group, our vision is clear: to lead
the UK debt purchase and collection industry by harnessing
cutting-edge technology to drive ethical, efficient, and
data-driven debt resolution. Our annual mission is to empower
hundreds of thousands of customers to positively engage with and
resolve their outstanding debts. We do this through an empathetic
and customer-centric approach that is at the heart of our success.
The Role To support our ambitious growth agenda, Perch Group is
expanding its development team and seeks a Senior Data Engineer.
This permanent role will lead a squad focused on delivering robust
data solutions across our five businesses. You will leverage your
deep expertise in traditional data engineering (database design,
T-SQL) and Microsoft Azure's data services (Data Factory, Power BI,
and pipelines) to address complex business challenges. We are
looking for a candidate who can effectively translate business
requirements into technical specifications and guide a team to
successful implementation. 💵 £50,000 - £60,000 + up to 20% of your
annual salary, paid as a bonus 📍 This role is based at our
Blackpool office with hybrid working options Key Responsibilities
Technical Leadership & Mentorship: - Provide technical
leadership and guidance to the data engineering team, fostering a
culture of technical excellence and innovation - Mentor junior
engineers, sharing technical expertise and best practices to
enhance their skills and knowledge - Oversee team members, ensuring
that work is managed and delivered according to agreed deadlines in
line with business priorities Data Architecture & Design: -
Architect and implement robust designs, ensuring optimal
performance, scalability, and security - Translate high-level
solution designs into detailed technical specifications, including
data models, ETL processes, and database schemas - Establish and
enforce data modelling best practices, promoting data integrity and
consistency across all platforms ETL Development &
Optimization: - Develop and optimize complex ETL pipelines for
diverse data sources (on-premise and cloud-based), utilizing best
practices for data extraction, transformation, and loading -
Implement data quality checks and validation processes within ETL
pipelines, ensuring data accuracy and reliability - Optimize ETL
performance for speed and efficiency, addressing bottlenecks and
improving data processing times Data Platform Management &
Governance: - Maintain and enhance the company's data platforms,
ensuring high availability, performance, and security - Implement
data governance policies and procedures, ensuring compliance with
data quality standards and regulatory requirements - Design and
implement data observability and data quality monitoring solutions,
enabling proactive identification and resolution of data issues Key
Behaviours Technical Passion & Innovation: - Demonstrates a
strong passion for data technologies and a commitment to staying
up-to-date with the latest trends and best practices - Proactively
seeks out opportunities to improve data processes and leverage new
technologies Problem-Solving & Best Practices: - Possesses a
strong problem-solving mindset, with the ability to identify and
resolve complex technical challenges - Adheres to and promotes data
engineering best practices, ensuring code quality, performance, and
maintainability Continuous Learning & Growth: - Embraces a
growth mindset, with a strong desire for continuous learning and
professional development - Actively seeks out opportunities to
expand technical skills and knowledge Technical Communication &
Collaboration: - Communicates technical concepts clearly and
effectively to both technical and non-technical audiences -
Collaborates effectively with cross-functional teams, fostering a
positive and productive work environment - Confident communicator,
who can articulate problems and solutions just as clearly to the
executive team as to engineering teams Team and Work Management: -
Experience with Agile methodologies (Scrum, Kanban) for managing
multiple data engineering projects simultaneously. Skilled at task
prioritization and delivering on deadlines - Ability to work
closely with cross-functional teams, including data scientists,
analysts, software engineers, and business stakeholders to align
data engineering efforts with business goals - Track the
performance of team members, provide constructive feedback, and
promote continuous improvement - Ability to efficiently allocate
resources to ensure that projects are adequately staffed and
scalable as demands grow - Clear and concise communicator,
particularly in presenting technical information to non-technical
stakeholders, and ensuring alignment with business objectives The
Person Essential: - Minimum 5+ years of experience in designing and
implementing data ETL processes and design - Expert-level
proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL
Server, Azure SQL Database) - Proven proficiency in Azure Data
Factory - Proven experience in designing and implementing data
models and database schemas for complex data environments - Strong
understanding of data quality principles and best practices, with
experience implementing data governance policies - Demonstrated
ability to troubleshoot and resolve complex data-related issues -
Strong analytical and problem-solving skills - Strong teamwork,
interpersonal and collaboration skills with colleagues and clients
Desirable: - Experience with Cloud ETL tools such as
Databricks/Snowflake, Spark and Kafka - Experience using source
control tools such as GitHub or Azure DevOps - Experience with
Azure DevOps for CI/CD pipeline development and data operations
(DataOps) - Experience with Python or other relevant coding
languages - Experience with Data Observability tools - Exposure to
Agile Project Methodology, i.e. Scrum ⌛️ The Application Timeline -
A first stage video call with the internal recruitment team (15
minute call) - A face to face or video call with the hiring manager
(45 minutes - 60 minutes) Typically, the average successful
applicant will be within this timeline for 2-3 weeks. Please note
we will close this role once we have enough applications for the
next stages therefore you should submit your application asap to
avoid any disappointment. If you do not receive a response after 3
weeks of applying, please assume you have been unsuccessful as we
may experience a high volume of applications. If you have any
questions or suggestions of how we can assist you in your
application due to disability or personal reasons, please email
. What’s In It For You 💵 £50,000 -
£60,000 + up to 20% of your annual salary, paid as a bonus. ⏰ 37.5
hours per week. We offer flexible working hours between our core
hours of 8am- 6pm, Monday to Friday. 🎓 The opportunity to complete
formal qualifications and learn on the job in a successful, growing
organisation. ➕ And many more benefits to support your wellbeing
and professional development. We are an equal opportunities
employer We’re an equal opportunity employer. All applicants will
be considered for employment without attention to age, ethnicity,
religion, sex, sexual orientation, gender identity, family or
parental status, national origin, or veteran, neurodiversity or
disability status. At Perch, our strength lies in our team, their
enthusiasm, and their passion for the business. Whether you’re
looking to gain foundational skills in financial services, have a
knack for customer service, or seek to expand your horizons, we
likely have the perfect opportunity for you. PLEASE NOTE - As we
are financial services company, we are required to run DBS and
Credit Checks on all of our successful candidates. This information
MUST be disclosed at the time of your initial screening call should
you be invited to interview.