Senior Analytics Engineer

Serco Group plc
Bristol, UK
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

SAP Cloud Microsoft Excel Amazon Web Services Business Analytics Applications Data Analysis Microsoft Azure Cloud Computing Cloud Engineering Software Documentation Profiling Code Review Continuous Integration
+18 more
Data Architecture Information Engineering Data Governance Metadata Microsoft Software Microsoft SQL Server Performance Tuning Power BI Cloud Services SQL Server Reporting Services Tableau (Software) Apache Spark SC Clearance Data Lakes Qlikview Domo Data Pipelines Databricks

Job description

Here at Serco, we’re looking for a Senior Analytics Engineer to design and build high-quality, analysis-ready data products and enterprise dashboards that enable trusted decision-making across UK&E. You will define and implement semantic modelling standards, ensure consistency and reliability of data products, and act as a specialist advisor on analytics engineering, BI consumption models, and reporting.

You will play a key role in shaping scalable, governed, and reusable data assets that support enterprise reporting, self-service analytics, and advanced insight generation.

As part of this you’ll:

· Build advanced dashboards and reporting solutions (Power BI, Databricks or similar) to support KPI, operational, strategic, and ad-hoc insight needs · Design and maintain enterprise semantic models (dimensional, canonical, and lakehouse gold layers) ensuring consistency and scalability · Publish certified, governed datasets and define standards for BI consumption, enabling reliable self-service analytics · Partner with data engineering to improve data quality, enforce security standards, and maintain lineage, metadata, and documentation · Implement and optimise data pipelines and analytics models using Spark, Delta Lake, and cloud-native tooling · Coach and support analytics engineers and analysts through code reviews, mentoring, and best practice adoption · Translate stakeholder requirements into clear, prioritised, high-value data products while challenging ambiguity and assumptions · Act as an SME for analytics solutions across Azure/AWS and Databricks-based environments · Drive performance, cost efficiency, and scalability of analytics solutions through continuous optimisation · Promote modern analytics engineering standards including CI/CD, testing frameworks, and reusable patterns, · Pension - 6% · Chance to contribute to innovation in the public services · A company passionate about diversity and inclusion · Serco discounts which include cinema, merlin entertainment and online shopping discounts, and discounts on mobile phone plans and leisure centre memberships. · A range of benefits to support the health and wellbeing of you and your family such as Employee Assistance Programme, Simply Health Cash Plans, and more. · A wealth of career development training to suit your future aspirations. These range from role specific training, leadership coaching, formal study and much more to support you to build your career with Serco. · A safe and supportive culture.

Requirements

· Strong BI experience across Microsoft stack (Power BI, SQL Server/SSRS, Excel); exposure to Tableau, Qlik, SAP Analytics Cloud or Domo desirable · Expert in data modelling (dimensional and lakehouse architectures) and enterprise dataset design · Advanced Databricks and Spark engineering (Delta Lake, performance tuning, orchestration, schema evolution) · Strong understanding of cloud data platforms (Azure or AWS) and secure, scalable data architectures · Experience implementing data quality frameworks, validation, profiling, and documentation standards · Expertise in semantic modelling, metrics layers, and certified dataset design for BI consumption · Strong communication skills, able to translate complex technical concepts for non-technical stakeholders · Strong analytical and data synthesis capability · 5+ years’ experience in enterprise-scale analytics, BI, or analytics engineering environments · Proven experience delivering production-grade analytics solutions in complex organisations · Cloud certifications (Azure, AWS, Databricks)

  • desirable· SC clearance (or willingness to obtain it), Disability Confident About Disability Confident A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to .

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