Hybrid/ Remote Working
Private Medical Care
Pension Scheme

Data Support Engineer

Salary
Location Manchester/Hybrid
{Mergefield Value}
{Mergefield Value}

This is a , Full Time vacancy that will close in {x} days at {xx:xx} BST.

The role

As a Data Engineer, you’ll play a pivotal role in delivering a proactive, high‑quality managed data service for customers using modern analytics platforms such as lakehouse, SQL, Spark and semantic models.

You’ll focus on ensuring the reliability, performance, data quality and overall optimisation of customer data environments that have been onboarded into our managed service. Working within ITIL‑aligned Incident, Change and Problem Management processes, you’ll help keep customer platforms healthy, stable and fit for purpose.

This is a hands‑on engineering role, ideal for someone who thrives on troubleshooting, performance tuning and managing controlled change. Rather than greenfield development, you’ll be enhancing and supporting live production systems while guiding customers on best practice and improvements.

What will I be doing?

Platform Monitoring & Incident Response

  • Monitor pipelines, dataflows, jobs and lakehouse workloads for failures or performance issues.
  • Respond to alerts, diagnose root causes and restore service quickly.
  • Fix issues across pipeline steps, data refresh, connectivity and authentication.
  • Safely re‑run jobs to restore normal operation.
  • Support D365 governance requirements.

Performance & Capacity Management

  • Monitor capacity usage, throttling and performance risks.
  • Analyse performance of SQL, Spark, notebooks, Delta optimisation and semantic models.
  • Implement optimisations such as query tuning, indexing, scheduling improvements and compute scaling.

Data Quality & Schema Management

  • Detect schema changes, datatype shifts, anomalies and missing/late data.
  • Maintain and run data quality rules (duplicates, thresholds, data completeness).
  • Investigate and resolve data quality issues.

Change Delivery & Continuous Improvement

  • Deliver customer‑requested changes through formal Change Management.
  • Update pipelines, schemas, calculated fields, metadata and RLS roles.
  • Optimise slow‑running workloads and provide impact/rollback assessments.

Connectivity, Security & Access

  • Troubleshoot linked services, runtime failures and network access issues.
  • Provide guidance on gateway configuration and authentication.
  • Support cloud gateway remediation and manage workspace/dataset/lake permissions.

Tooling, Documentation & Knowledge Management

  • Use telemetry, logs and diagnostics to investigate reliability and performance issues.
  • Maintain data dictionaries, lineage documentation, runbooks and data flow diagrams.
  • Ensure all changes are recorded in up‑to‑date support documentation.

What will I bring to the role?

Essential

  • Experience supporting and operating production data platforms.
  • Strong SQL skills, including optimisation and troubleshooting.
  • Spark-based data processing and performance tuning experience.
  • Hands‑on work with pipelines/orchestration, lakehouse/warehouse architectures, and semantic models.
  • Familiarity with incident and change management processes.
  • Strong problem‑solving and root‑cause analysis abilities.
  • Clear, structured documentation skills.

Desirable

  • Experience with Microsoft Fabric, Azure data services or similar cloud analytics platforms.
  • DAX optimisation skills.
  • Understanding of capacity‑based analytics and throttling behaviour.
  • Experience in customer‑facing managed services.
  • Knowledge of data governance, lineage and data quality frameworks.

Behaviours & Attributes

  • Customer‑focused with a strong service mindset.
  • Confident in high‑availability production environments.
  • Calm, methodical incident diagnosis.
  • Strong communicator and collaborative team player.
  • Proactive in spotting risks and improvements.
  • Able to balance reactive support with planned optimisation work

At ANS, we’ve created a place where everyone can be themselves, and we empower our people to get the job done. Openness, ambition, honesty, and passion are what drive us every day. We are bold, courageous, and innovative – and we do it like no other. We invest in our people. In training, development, health and more – we give you the benefits and flexibility to maintain a happy work-life balance.

We’re proud of the inclusive, fun, dynamic environment we’ve created. It’s a safe space that works for all. You don’t have to be a techie to work in tech. Bring your authentic self and find your dream role here. Find out more at LinkedIn pages.

What’s in it for you?
With fantastic benefits, an inclusive culture, and a cool office space, we’re your kind of workplace. 

Company benefits

  • As standard: 25 days’ holiday, plus you can buy up to 5 more days
  • A little extra: we’ll give you your birthday off, and an extra celebration day for whatever you want! Tying the knot? You get 5 days’ additional holiday in the year you get married. Oh, and 5 volunteer days!
  • Private health insurance
  • Pension contribution match and 4 x life assurance
  • Flexible working and work from anywhere for up to 30 days per year (some exceptions)
  • Maternity: 16 weeks’ full pay, Paternity: 3 weeks’ full pay, Adoption: 16 weeks’ full pay
  • Company social events – get ready for a jam-packed calendar
  • Electric car scheme
  • 12 days of personal growth development time

ANS are an equal opportunities employer. We encourage diversity and anyone applying for a role at our organisation can be assured that their application will be treated fairly, regardless of age, disability, gender reassignment, gender expression, marriage and civil partnership, pregnancy and maternity, race, religion or belief and sex or sexual orientation. We sometimes ask for information relating to individuals for equal opportunities monitoring purposes only.

Work from anywhere

Private Medical

Pension Scheme

Life Assurance

Volunteer Days

Electric Vehicle Scheme

Personal Development Days

Ride to Work Scheme

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Closing

in X days

{Expiry}