data engineer in accounting

Enfint; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private medical cover

Pension matching

Career development

Agile working

Volunteering days

Job summary

Menzies is seeking a senior data engineering lead to design and deliver scalable, secure data pipelines into BigQuery and related GCP services. You will shape the engineering approach, set standards for data modelling, testing, and cost optimisation, and partner with teams to deliver reusable data products.

You will mentor engineers and promote governance and data quality by design. Ideal candidates have 5+ years in data engineering, strong SQL/Python skills, and deep knowledge of BigQuery,

Qualifications

• 5+ years in data engineering, analytics engineering or data platform leadership.
• Advanced SQL and Python for production data solutions.
• Strong experience with cloud data warehouses, ideally BigQuery, and GCP.

Responsibilities

• Lead design and delivery of scalable data pipelines into BigQuery from internal systems and APIs.
• Shape engineering approach across Google Cloud Platform including Terraform and Airflow.
• Set engineering standards for data modelling, testing, monitoring and cost optimisation.
• Partner with teams to turn business needs into scalable data products.
• Embed security, governance and data quality by design, including GDPR compliance.
• Provide technical leadership: review designs, mentor engineers, raise engineering standards.
• Enable data delivery via Power BI, automation workflows and AI agents.

Skills

Advanced SQL

Python

BigQuery

GCP

Airflow/Cloud Composer

dbt

Git/GitHub

CI/CD

Terraform

Data modelling

GDPR compliance

Stakeholder management

Education

Degree in Computer Science or related field

Tools

BigQuery

Cloud Composer/Airflow

Terraform

dbt

GitHub

Job description

Описание:

Menzies is an accounting firm with over 1,100 colleagues in the UK. Its data and innovation team builds secure data foundations that support reporting, automation, AI and smarter decision‑making across the firm.

Задачи:

Lead the design and delivery of scalable, resilient data pipelines into BigQuery from internal systems, APIs, databases, files, webhooks and event streams; Shape the engineering approach across Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Datastream, Cloud Composer/Airflow, Terraform and infrastructure‑as‑code; Set and champion engineering standards for data modelling, dbt transformations, testing, monitoring, documentation, deployment, version control and cost optimisation; Partner with teams across the firm to turn business needs into scalable, reusable data products using internal and external data sources; Embed security, governance and data quality by design, including data lineage, access controls, GDPR compliance, least‑privilege security and handling of sensitive information; Provide technical leadership by reviewing designs and code, mentoring data engineers and analysts, and strengthening engineering capability across the Innovation Team; Enable data delivery through Power BI, automation workflows, AI agents and internal applications; Evaluate technology and integration options and make build-versus‑buy recommendations balancing business value, security, scalability, supportability and cost; Champion data enablement across Menzies and support colleagues in accessing, understanding and using data safely and effectively; Help shape the Innovation Team roadmap by prioritising strategic, repeatable platforms and solutions.

Требования:

• 5+ Years of hands‑on experience in data engineering, analytics engineering or data platform roles, including senior or leadership‑level work
• Advanced SQL and Python skills for building reliable, production‑ready data solutions
• Strong experience with cloud data warehouses, ideally BigQuery, and working knowledge of the wider Google Cloud Platform ecosystem
• Experience with Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure‑as‑code tooling
• Understanding of data modelling, dimensional modelling, orchestration, testing, data quality and operational monitoring
• Experience designing and operating production‑grade data pipelines using APIs, databases, flat files, webhooks and message queues
• Understanding of data security and governance, including GDPR, role‑based access, secrets management and responsible handlingofsensitive information
• Ability to turn ambiguous business challenges into clear, pragmatic technical solutions
• Strong communication and stakeholder management skills, including explaining complex technical concepts to non‑technical audiences and influencing decisions
• Collaborative leadership style with an interest in coachingothers,sharingknowledgeandraisingengineeringstandards
• Ownership, sound judgementand a delivery mindset with a focus on quality, security and risk
• Nicetohave:Adegreeorequivalentexperienceincomputerscience,dataengineering,softwareengineering,mathematics, statisticsorarelatedtechnicaldiscipline,GoogleCloudordbtcertifications, experience in professionalservices, finance, accounting, legal, tax, audit or another regulatedenvironment

Условия:

• Private medical cover, pension matching and enhanced parental leave
• Career development, learning opportunities and career coaching
• Agile working
• Volunteering days and wellbeing initiatives
• OccasionaltraveltootherMenziesofficesforworkshops, discoverysessions,implementationsupportandteammeetings