Data Engineer
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Job Location:
Manchester - UK
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
At ANS the Data Engineer plays a vital role in enabling data-driven decision-making by developing andmaintainingreliable data pipelines supporting data integration efforts and working closely with senior engineers and architects to ensure technical alignment. While not responsible for leading solution design they contribute hands-onexpertiseto implementation data transformation and performance optimisationhelping convert raw data into trusted usable assets that support internal teams and customer outcomes.
What youll be doing...
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Deliver high-quality data solutions bybuilding and optimising data pipelines notebooks and data flows in Microsoft Fabric and Synapse Analytics connecting to a variety of on-premises and cloud-based data sources
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Work closely with Data Architects and Senior Data Engineers to implement technical designs and contribute to solution development
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Collaborate with customer-side data engineers to ensure smooth integration and alignment with business requirements
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Focus on task execution and delivery ensuring timelines and quality standards are met
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Follow engineering best practices including CI/CD via Azure DevOps secure data handling using Key Vault and private endpoints andmaintaincode quality
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Participate in Agile ceremonies such as standups sprint planning and user story refinement
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Document solutions clearly for internal use and knowledge sharing
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Troubleshoot and resolve technical issues across environments and subscriptions
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Engage in continuous learningthrough certifications (e.g. DP-600 and/or DP700 AI-900 AI-102 etc.) and development days
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Contribute to theData Engineer Guildby sharing knowledgeparticipatingin discussions and helping shape engineering standards and practices
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Information security is consideredand employees have a duty and responsibility to adhere to business policies and procedures
Skills and experience required...
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Experience in building and optimising pipelines in Azure Data Factory Synapse or Fabric
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Knowledge of python and SQL
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Experience in using metadata frameworks in data engineering
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Experience in best practice data engineering principles including CI/CD via Azure DevOps orGithub
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Base knowledge understanding of Azure networking and security in relation to the data platform
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Experience of data governance and regulation including GDPR principle of least privilege classification etc.
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Experience of Lakehousearchitecture data warehousing principles and data modelling
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Familiarity with Power BI and DAXis a plus
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Base knowledge of Azure foundry
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
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
