Data Support Engineer

ANS Group Limited

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profile Job Location:

Manchester - UK

profile Monthly Salary: Not Disclosed
Posted on: 12 hours ago
Vacancies: 1 Vacancy

Job Summary

The role

As a Data Engineer youll play a pivotal role in delivering a proactive highquality managed data service for customers using modern analytics platforms such as lakehouse SQL Spark and semantic models.

Youll 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 ITILaligned Incident Change and Problem Management processes youll help keep customer platforms healthy stable and fit for purpose.

This is a handson engineering role ideal for someone who thrives on troubleshooting performance tuning and managing controlled change. Rather than greenfield development youll 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 rerun 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 customerrequested changes through formal Change Management.
  • Update pipelines schemas calculated fields metadata and RLS roles.
  • Optimise slowrunning 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 uptodate 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.
  • Handson work with pipelines/orchestration lakehouse/warehouse architectures and semantic models.
  • Familiarity with incident and change management processes.
  • Strong problemsolving and rootcause analysis abilities.
  • Clear structured documentation skills.

Desirable

  • Experience with Microsoft Fabric Azure data services or similar cloud analytics platforms.
  • DAX optimisation skills.
  • Understanding of capacitybased analytics and throttling behaviour.
  • Experience in customerfacing managed services.
  • Knowledge of data governance lineage and data quality frameworks.

Behaviours & Attributes

  • Customerfocused with a strong service mindset.
  • Confident in highavailability 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

Why work for ANS

At ANS weve 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 training development health and more we give you the benefits and flexibility to maintain a happy work-life balance.

Were proud of the inclusive fun dynamic environment weve created. Its a safe space that works for dont have to be a techie to work in tech. Bring your authentic self and find your dream role here. Find out more atLinkedIn pages.

Whats in it for you
With fantastic benefits an inclusive culture and a cool office space were your kind of workplace.

Company benefits

  • As standard:25 daysholiday plus you can buy up to5 moredays
  • A little extra:well give you yourbirthday offand an extracelebration dayfor whatever you want!Tying the knotYou get 5 days additional holiday in the year you get married. Oh and 5volunteer days!
  • Private health insurance
  • Pension contribution match and 4 x life assurance
  • Flexible workingandwork from anywherefor 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.

The Benefits

The Benefits

Work from anywhere

Private Medical

Pension Scheme

Life Assurance

Volunteer Days

Electric Vehicle Scheme

Personal Development Days

Ride to Work Scheme

Documents


Required Experience:

IC

The roleAs a Data Engineer youll play a pivotal role in delivering a proactive highquality managed data service for customers using modern analytics platforms such as lakehouse SQL Spark and semantic models.Youll focus on ensuring the reliability performance data quality and overall optimisation of ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala