At a Glance
- Tasks: Build and support scalable data solutions using AWS and Power BI.
- Company: Join Scrumconnect Consulting, a leading UK digital consultancy making a difference.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse team environment with a commitment to inclusion and flexible working.
- Why this job: Make an impact on public services while working with cutting-edge technology.
- Qualifications: 4+ years in Data Engineering, strong Power BI and AWS skills required.
The predicted salary is between 56700 - 69300 Β£ per year.
- About
- Scrumconnect Consulting
Scrumconnect Consulting is a multi-award-winning UK public sector digital consultancy, positively influencing the lives of over forty million UK citizens.
We bring deep expertise in agile delivery, digital transformation, and platform engineering across central government.
With a team of over one hundred and twenty-five professionals β more than forty percent of whom are women β we are committed to building inclusive, diverse teams that reflect the communities we serve.
Role Overview
- We are looking for an experienced
- Dev Ops Engineer β Data Engineer with strong hands-on experience in
Power BI and native AWS services . The successful candidate will be responsible for building, automating, deploying, and supporting scalable data solutions and analytics platforms.
You will work across data engineering, cloud infrastructure, Dev Ops, and business intelligence, ensuring reliable data pipelines and high-quality Power BI reporting.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes .
- Build and manage data solutions using native AWS services .
- Develop and maintain
Power BI dashboards, reports, semantic models, and datasets .
- Integrate data from multiple sources into AWS-based data platforms.
- Implement CI/CD pipelines for data and analytics deployments.
- Automate infrastructure and data engineering processes.
- Monitor data pipelines, Power BI refreshes, and production environments.
- Troubleshoot pipeline failures, data quality issues, and deployment problems.
- Implement data validation, monitoring, logging, and alerting.
- Work with development, analytics, and business teams to understand requirements.
- Follow Dev Ops and Data Ops best practices around version control, automation, testing, and release management.
- Support continuous improvement of data platforms and reporting solutions.
Essential Skills
Mandatory
- Strong hands-on
Power BI experience.
- Strong hands-on experience with native AWS services .
- Experience in
Data Engineering / Data Ops .
- Strong
SQL skills.
- Experience building
ETL/ELT data pipelines .
- Experience with data modelling and data warehousing.
- Experience with
CI/CD and Dev Ops practices .
- Experience with Git and source-code management.
- Strong troubleshooting and problem-solving skills.
- AWS Experience
- Candidates should have practical experience with relevant AWS data services, such as:
- Amazon S3
- AWS Glue
- Amazon Redshift
- AWS Lambda
- Amazon Athena
- Amazon RDS
- AWS IAM
- Amazon Cloud Watch
Experience with services such as Kinesis, EMR, Step Functions or MWAA/Airflow would be advantageous.
AWS data engineering roles commonly use services such as S3, Glue, Redshift, Lambda, Kinesis and IAM for data platforms and pipelines.
- Power BI Experience
- Power BI Desktop and Power BI Service.
- Dashboard and report development.
- Data modelling and relationships.
- DAX and Power Query.
- Dataset and semantic model development.
- Power BI deployment and refresh management.
- Row-Level Security (RLS).
- Performance optimisation.
- Integration of Power BI with cloud/data platforms.
- Dev Ops / Automation
- CI/CD pipelines.
- Git/Git Hub/Git Lab.
- Infrastructure as Code such as Terraform or Cloud Formation.
- Automated deployments across environments.
- Monitoring and logging.
- Release and configuration management.
- Production support and incident troubleshooting.
Desirable
- Python or another scripting language.
- AWS certification.
- Terraform.
- Docker/Kubernetes.
- Apache Airflow / MWAA.
- Databricks or Spark.
- Kafka/Kinesis.
- dbt.
- Experience working in Agile/Scrum environments.
Experience
4+ years of experience in Data Engineering, Dev Ops, Data Ops, or a closely related role.
- Proven experience delivering data solutions in
AWS .
- Strong Power BI development and production support experience.
- Experience working with enterprise data platforms and cloud environments.
- Key Technologies
AWS | Power BI | SQL | Python | S3 | Glue | Redshift | Lambda | Athena | IAM | Cloud Watch | ETL/ELT | Data Modelling | CI/CD | Git | Terraform | Dev Ops/Data Ops
Mandatory requirement
Candidates must have both strong Power BI experience and hands-on native AWS experience .
Diversity and Inclusion
At Scrumconnect Consulting, we believe that diversity drives innovation.
We are committed to creating an inclusive environment where every individual is respected, valued, and supported.
We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.
AWS Data Engineer β Power BI in Blackpool employer: Scrumconnect Limited
Scrumconnect Consulting is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on professional growth, employees are encouraged to enhance their skills through continuous learning and participation in Agile practices. The company offers competitive benefits and a dynamic environment where your contributions directly impact cutting-edge AI-driven services.
StudySmarter Expert Adviceπ€«
We think this is how you could land AWS Data Engineer β Power BI in Blackpool
β¨Get Involved in Data Science Meetups
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We think you need these skills to ace AWS Data Engineer β Power BI in Blackpool
Some tips for your application π«‘
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Donβt forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Scrumconnect Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why youβre a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Scrumconnect Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Scrumconnect Limited
β¨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
β¨Showcase Your Projects
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β¨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Scrumconnect Limited!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.